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  •  

    A Neural Transducer

    Navdeep Jaitly, David Sussillo, Quoc V. Le, Oriol Vinyals, Ilya Sutskever, Samy Bengio

    NIPS 2016 (2016) (to appear)

  • A Simple and Efficient Method to Handle Sparse Preference Data Using Domination Graphs: An Application to

    Shumeet Baluja

    ICCS 2016, 2302–2311

  •  

    Adversarial Autoencoders

    Alireza Makhzani, Jonathon Shlens, Navdeep Jaitly, Ian Goodfellow

    International Conference on Learning Representations (2016) (to appear)

  •  

    Adversarial examples in the physical world

    Alexey Kurakin, Ian Goodfellow, Samy Bengio

    arXiv (2016)

  •  

    Bayes and Big Data: The Consensus Monte Carlo Algorithm

    Steven L. Scott, Alexander W. Blocker, Fernando V. Bonassi

    International Journal of Management Science and Engineering Management (2016) (to appear)

  •  

    Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes

    Craig Boutilier, Tyler Lu

    Google Research (2016), 39pp. (to appear)

  • Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries

    Giulia Fanti, Vasyl Pihur, Úlfar Erlingsson

    Proceedings on Privacy Enhancing Technologies (PoPETS), vol. issue 3, 2016 (2016) (to appear)

  •  

    Cloak of Visibility: Detecting When Machines Browse a Different Web

    Luca Invernizzi, Kurt Thomas, Alexandros Kapravelos, Oxana Comanescu, Jean-Michel Picod, Elie Bursztein

    Proceedings of the 37th IEEE Symposium on Security and Privacy (2016)

  •  

    Collective Entity Resolution with Multi-Focal Attention

    Amir Globerson, Nevena Lazic, Soumen Chakrabarti, Amarnag Subramanya, Michael Ringaard, Fernando Pereira

    ACL (2016) (to appear)

  • Concrete Problems in AI Safety

    Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, Dan Mané

    arXiv preprint arXiv:1606.06565 (2016)

  •  

    Contextual LSTM: A Step towards Hierarchical Language Modeling

    Shalini Ghosh, Oriol Vinyals, Brian Strope, Scott Roy, Tom Dean, Larry Heck

    Workshop on Large­-scale Deep Learning for Data Mining - KDD (2016) (to appear)

  • Contextual prediction models for speech recognition

    Yoni Halpern, Keith Hall, Vlad Schogol, Michael Riley, Brian Roark, Gleb Skobeltsyn, Martin Baeuml

    Proceedings of Interspeech 2016 (to appear)

  • Continuous Deep Q-Learning with Model-based Acceleration

    Shixiang Gu, Timothy Lillicrap, Ilya Sutskever, Sergey Levine

    International Conference on Machine Learning (2016)

  •  

    Cross-Lingual Morphological Tagging for Low-Resource Languages

    Jan Buys, Jan A. Botha

    Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Association for Computational Linguistics, Berlin, Germany (2016), pp. 1954-1964

  • Crowdsourcing a Gold Standard for Medical Relation Extraction with CrowdTruth

    Anca Dumitrache, Chris Welty, Lora Aroyo

    Proceedings of the 2016 Collective Intelligence Conference (to appear)

  • Deep Learning Games

    Dale Schuurmans, Martin Zinkevich

    NIPS 2016 (2016) (to appear)

  •  

    Deep Learning with Differential Privacy

    Martin Abadi, Andy Chu, Ian Goodfellow, Brendan McMahan, Ilya Mironov, Kunal Talwar, Li Zhang

    23rd ACM Conference on Computer and Communications Security (ACM CCS) (2016) (to appear)

  •  

    Deep Neural Networks for Recommendations

    Paul Covington, Jay Adams, Emre Sargin

    Proceedings of the 10th ACM Conference on Recommender Systems, ACM, New York, NY, USA (2016) (to appear)

  •  

    DeepMath - Deep Sequence Models for Premise Selection

    Alex A. Alemi, Francois Chollet, Geoffrey Irving, Christian Szegedy, Josef Urban

    NIPS (2016)

  •  

    DeepStereo: Learning to Predict New Views From the World's Imagery

    John Flynn, Ivan Neulander, James Philbin, Noah Snavely

    The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)

  •  

    Density Estimation using Real NVP

    Laurent Dinh, Jascha Sohl-Dickstein, Samy Bengio

    arXiv preprint (2016)

  •  

    Detecting Events and Key Actors in Multi-Person Videos

    Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei

    Computer Vision and Pattern Recognition (CVPR) (2016)

  •  

    Domain Separation Networks

    Konstantinos Bousmalis, George Trigeorgis, Nathan Silberman, Dilip Krishnan, Dumitru Erhan

    NIPS 2016 (2016) (to appear)

  •  

    End-to-End Text-Dependent Speaker Verification

    Georg Heigold, Ignacio Moreno, Samy Bengio, Noam M. Shazeer

    International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE (2016)

  • Exploring the limits of language modeling

    Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, Yonghui Wu

    Google Inc. (2016)

  •  

    Exponential expressivity in deep neural networks through transient chaos

    Ben Poole, Subhaneil Lahiri, Maithra Raghu, Jascha Sohl-Dickstein, Surya Ganguli

    NIPS 2016 (2016) (to appear)

  •  

    Federated Learning of Deep Networks using Model Averaging

    H. Brendan McMahan, Eider Moore, Daniel Ramage, Blaise Aguera y Arcas

    Preprint (2016)

  •  

    Full Resolution Image Compression with Recurrent Neural Networks

    George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell

    arxiv (2016)

  • General, Nested, and Constrained Wiberg Minimization

    Dennis Strelow, Qifan Wang, Luo Si, Anders Eriksson

    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, vol. 38 (2016), pp. 1803-1815

  •  

    Generating Sentences from a Continuous Space

    Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, Andrew M. Dai, Rafal Jozefowicz, Samy Bengio

    CoNLL (2016) (to appear)

  •  

    Globally Normalized Transition-Based Neural Networks

    Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins

    Association for Computational Linguistics (2016)

  •  

    Greedy Column Subset Selection: New Bounds and Distributed Algorithms

    Aditya Bhaskara, Afshin Rostamizadeh, Jason Altschuler, Morteza Zadimoghaddam, Thomas Fu, Vahab Mirrokni

    ICML (2016) (to appear)

  •  

    Hierarchical Label Propagation and Discovery for Machine Generated Email

    James B. Wendt, Michael Bendersky, Lluis Garcia-Pueyo, Vanja Josifovski, Balint Miklos, Ivo Krka, Amitabh Saikia, Jie Yang, Marc-Allen Cartright, Sujith Ravi

    Proceedings of the International Conference on Web Search and Data Mining (WSDM), ACM (2016), pp. 317-326

  •  

    Importance Weighting Without Importance Weights: An Efficient Algorithm for Combinatorial Semi-Bandits

    Gergely Neu, Gabor Bartok

    Journal of Machine Learning Research, vol. 17 (2016) (to appear)

  •  

    Improper Deep Kernels

    Uri Heinemann, Roi Livni, Elad Eban, Gal Elidan, Amir Globerson

    Proceedings of The 19th International Conference on Artificial Intelligence and Statististics. (2016)

  •  

    Improving the Robustness of Deep Neural Networks via Stability Training

    Stephan Zheng, Yang Song, Thomas Leung, Ian Goodfellow

    CVPR'2016, IEEE (to appear)

  •  

    Improving topic clustering on search queries with word co-occurrence and bipartite graph co-clustering

    Jing Kong, Alex Scott, Georg Goerg

    Google Inc (2016)

  •  

    Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

    Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke

    ICLR 2016 Workshop (to appear)

  •  

    LLORMA: Local Low-Rank Matrix Approximation

    Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer, Samy Bengio

    Journal of Machine Learning Research (JMLR), vol. 17 (2016), pp. 1-24

  • Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision

    Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar

    AAAI (2016)

  •  

    Large Scale Distributed Semi-Supervised Learning Using Streaming Approximation

    Sujith Ravi, Qiming Diao

    Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) (2016)

  • Large-Scale Deep Learning For Building Intelligent Computer Systems

    Jeffrey Dean

    WSDM (2016), pp. 1

  •  

    Large-scale Learning With Global Non-Decomposable Objectives

    Elad Eban, Mariano Schain, Ariel Gordon, Rif A. Saurous, Gal Elidan

    arXiv preprint arXiv:1608.04802 (2016)

  • Learning Compact Recurrent Neural Networks

    Zhiyun Lu, Vikas Sindhwani, Tara Sainath

    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016

  •  

    Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection

    Sergey Levine, Peter Pastor Sampedro, Alex Krizhevsky, Deirdre Quillen

    International Symposium on Experimental Robotics (2016)

  •  

    Learning Personalized Pronunciations for Contact Names Recognition

    Tony Bruguier, Fuchun Peng, Francoise Beaufays

    Interspeech 2016 (to appear)

  •  

    Learning Typographic Style

    Shumeet Baluja

    arXiv (2016)

  •  

    Learning to Rank with Selection Bias in Personal Search

    Xuanhui Wang, Michael Bendersky, Donald Metzler, Marc Najork

    Proceedings of SIGIR 2016, ACM (to appear)

  •  

    Listen, Attend and Spell: A Neural Network for Large Vocabulary Conversational Speech Recognition

    William Chan, Navdeep Jaitly, Quoc V. Le, Oriol Vinyals

    ICASSP (2016)

  • Mastering the game of Go with deep neural networks and tree search

    David Silver, Aja Huang, Christopher J. Maddison, Arthur Guez, Laurent Sifre, George van den Driessche, Julian Schrittwieser, Ioannis Antonoglou, Veda Panneershelvam, Marc Lanctot, Sander Dieleman, Dominik Grewe, John Nham, Nal Kalchbrenner, Ilya Sutskever, Timothy Lillicrap, Madeleine Leach, Koray Kavukcuoglu, Thore Graepel, Demis Hassabis

    Nature, vol. 529 (2016), pp. 484-503

  • Molecular graph convolutions: moving beyond fingerprints

    Steven Kearnes, Kevin McCloskey, Marc Berndl, Vijay Pande, Patrick Riley

    Journal of Computer-Aided Molecular Design (2016), pp. 1-14

  •  

    MuProp: Unbiased Backpropagation for Stochastic Neural Networks

    Shixiang Gu, Sergey Levine, Ilya Sutskever, Andriy Mnih

    International Conference on Learning Representations (2016)

  • Multi-Language Online Handwriting Recognition

    Daniel Keysers, Thomas Deselaers, Henry A. Rowley, Li-Lun Wang, Victor Carbune

    IEEE Transactions on Pattern Analysis and Machine Intelligence (2016)

  •  

    Multi-task Sequence to Sequence Learning

    Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser

    International Conference on Learning Representations (2016)

  •  

    Multilingual Language Processing From Bytes

    Dan Gillick, Cliff Brunk, Oriol Vinyals, Amarnag Subramanya

    NAACL (2016) (to appear)

  •  

    Net2Net: Accelerating Learning via Knowledge Transfer

    Tianqi Chen, Ian Goodfellow, Jonathon Shlens

    International Conference on Learning Representations (2016)

  • Neural GPUs Learn Algorithms

    Lukasz Kaiser, Ilya Sutskever

    International Conference on Learning Representations (2016)

  •  

    Neural Programmer: Inducing Latent Programs with Gradient Descent

    arvind neelakantan, Quoc V. Le, Ilya Sutskever

    International Conference on Learning Representations (2016)

  •  

    Neural Random Access Machines

    Karol Kurach, Marcin Andrychowicz, Ilya Sutskever

    ICLR (2016) (to appear)

  • Neural Random-Access Machines

    Karol Kurach, Marcin Andrychowicz, Ilya Sutskever

    CoRR, vol. abs/1511.06392 (2016)

  •  

    Order matters: Sequence to sequence for sets

    Oriol Vinyals, Samy Bengio, Manjunath Kudlur

    International Conference on Learning Representations (ICLR) (2016) (to appear)

  • Physical and Virtual Cell Phone Sensors for Traffic Control: Algorithms and Deployment Impact

    Shumeet Baluja, Michele Covell, Rahul Sukthankar

    2016 IEEE Sensors Application Symposium

  •  

    PlaNet - Photo Geolocation with Convolutional Neural Networks

    Tobias Weyand, Ilya Kostrikov, James Philbin

    European Conference on Computer Vision (ECCV) (2016) (to appear)

  •  

    Pricing a low-regret seller

    Hoda Heidari, Mohammad Mahdian, Umar Syed, Sergei Vassilvitskii, Sadra Yazdanbod

    Proceedings of the Thirty-Third International Conference on Machine Learning (ICML 2016)

  •  

    Recurrent Dropout without Memory Loss

    Stanislau Semeniuta, Aliaksei Severyn, Erhardt Barth

    ArXiv (2016)

  • Reducing Vehicle Emissions via Machine Learning for Traffic Signal Program Selection (Extended Abstract)

    Shumeet Baluja

    NINTH TRIENNIAL SYMPOSIUM ON TRANSPORTATION ANALYSIS (2016) (to appear)

  •  

    Rethinking the Inception Architecture for Computer Vision

    Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, Zbigniew Wojna

    Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, (2016) (to appear)

  •  

    Revisiting Distributed Synchronous SGD

    Jianmin Chen, Rajat Monga, Samy Bengio, Rafal Jozefowicz

    International Conference on Learning Representations Workshop Track (2016) (to appear)

  •  

    Robust Large-Scale Machine Learning in the Cloud

    Steffen Rendle, Dennis Fetterly, Eugene J. Shekita, Bor-yiing Su

    Proceedings of the 22th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, San Francisco, CA, USA (2016) (to appear)

  •  

    SSD: Single Shot MultiBox Detector

    Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed,, Cheng-Yang Fu,, Alexander C. Berg

    Proceedings of the European Conference on Computer Vision (ECCV) (2016) (to appear)

  •  

    Semantic Video Trailers

    Harrie Oosterhuis, Sujith Ravi, Mike Bendersky

    ICML 2016 Workshop on Multi-View Representation Learning

  •  

    Smart Reply: Automated Response Suggestion for Email

    Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufman, Balint Miklos, Greg Corrado, Andrew Tomkins, Laszlo Lukacs, Marina Ganea, Peter Young, Vivek Ramavajjala

    Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (2016).

  •  

    Stack-propagation: Improved Representation Learning for Syntax

    David Weiss, Yuan Zhang

    ACL2016

  • Technologies and Applications for Active and Assisted Living. Current situation.

    Alexandros Chaaraoui, Francisco Flórez-Revuelta

    Active and Assisted Living: Technologies and Applications, IET - The institution of Engineering and Technology, Savoy Place London WC2R 0BL UK (2016)

  • Technologies and Applications for Active and Assisted Living. What's next?

    Francisco Flórez-Revuelta, Alexandros Chaaraoui

    Active and Assisted Living: Technologies and Applications, IET - The institution of Engineering and Technology, Savoy Place London WC2R 0BL UK (2016)

  •  

    TensorFlow: A system for large-scale machine learning

    Martin Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, Manjunath Kudlur, Josh Levenberg, Rajat Monga, Sherry Moore, Derek G. Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

    Google Brain (2016)

  •  

    Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity

    Amit Daniely, Roy Frostig, Yoram Singer

    NIPS 2016 (2016) (to appear)

  •  

    Variable Rate Image Compression with Recurrent Neural Networks

    George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar

    International Conference on Learning Representations (2016)

  • Virtual Adversarial Training for Semi-Supervised Text Classification

    Takeru Miayto, Andrew M. Dai, Ian Goodfellow

    arXiv preprint (2016)

  •  

    Where to sell: Simulating auctions from learning algorithms

    Hamid Nazerzadeh, Renato Paes Leme, Afshin Rostamizadeh, Umar Syed

    Proceedings of the Seventeenth ACM Conference on Economics and Computation (EC2016)

  •  

    Wide & Deep Learning for Recommender Systems

    Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispir, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, Hemal Shah

    arXiv:1606.07792 (2016)

  • WikiReading: A Novel Large-scale Language Understanding Task over Wikipedia

    Alexandre Lacoste, Andrew Fandrianto, Daniel Hewlett, David Berthelot, Illia Polosukhin, Jay Han, Llion Jones, Matthew Kelcey

    Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, Berlin, Germany (2016)

  •  

    A Gaussian Mixture Model Layer Jointly Optimized with Discriminative Features within A Deep Neural Network Architecture

    Ehsan Variani, Erik McDermott, Georg Heigold

    ICASSP, IEEE (2015)

  •  

    A Neural Conversational Model

    Oriol Vinyals, Quoc V. Le

    ICML Deep Learning Workshop (2015)

  • A Simple Way to Initialize Recurrent Networks of Rectified Linear Units

    Quoc V. Le, Navdeep Jaitly, Geoffrey E. Hinton

    CoRR, vol. abs/1504.00941 (2015)

  •  

    A classifier for the latency-CPU behaviors of serving jobs in distributed environments

    Christophe Restif, Natalia Ponomareva, Krzysztof Ostrowski

    SoCC 15 (2015) (to appear)

  • Adaptation algorithm and theory based on generalized discrepancy

    Corinna Cortes, Mehryar Mohri, Andrés Muñoz Medina

    Proceedings of the 21st ACM Conference on Knowledge Discovery and Data Mining (KDD 2015)

  • Adding Gradient Noise Improves Learning for Very Deep Networks

    arvind neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens

    CoRR, vol. abs/1511.06807 (2015)

  •  

    Adding Third-Party Authentication to Open edX: A Case Study

    John Cox, Pavel Simakov

    Proceedings of the Second (2015) ACM Conference on Learning @ Scale, ACM, New York, NY, USA, pp. 277-280

  •  

    Addressing the Rare Word Problem in Neural Machine Translation

    Thang Luong, Ilya Sutskever, Quoc V. Le, Oriol Vinyals, Wojciech Zaremba

    ACL (2015)

  • An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections

    Yu Cheng, Felix X. Yu, Rogerio Feris, Sanjiv Kumar, Shih-Fu Chang

    International Conference on Computer Vision (ICCV) (2015)

  •  

    An Online Sequence-to-Sequence Model Using Partial Conditioning

    Navdeep Jaitly, Quoc V. Le, Oriol Vinyals, Samy Bengio

    ARXIV (2015)

  • An empirical exploration of recurrent network architectures

    Rafal Jozefowicz, Wojciech Zaremba, Ilya Sutskever

    Journal of Machine Learning Research (2015)

  •  

    Apples and Oranges: Detecting Least-Privilege Violators with Peer Group Analysis

    Iulia Ion, Suman Jana, Úlfar Erlingsson

    CoRR, vol. abs/1510.07308 (2015)

  • Approximating the Effects of Installed Traffic Lights: A Behaviorist Approach Based on Travel Tracks

    Shumeet Baluja, Michele Covell, Rahul Sukthankar

    International Conference on Intelligent Transportation Systems (2015)

  •  

    Attention for fine-grained categorization

    Pierre Sermanet, Andrea Frome, Esteban Real

    International Conference on Learning Representations (ICLR) workshop, Arxiv (2015)

  •  

    Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

    Sergey Ioffe, Christian Szegedy

    Proceedings of The 32nd International Conference on Machine Learning (2015), pp. 448-456

  •  

    Bayesian Dark Knowledge

    Anoop Korattikara, Vivek Rathod, Kevin Murphy, Max Welling

    Advances in Neural Information Processing Systems (2015)

  •  

    Beyond Short Snippets: Deep Networks for Video Classification

    Joe Yue-Hei Ng, Matthew Hausknecht, Sudheendra Vijayanarasimhan, Oriol Vinyals, Rajat Monga, George Toderici

    Computer Vision and Pattern Recognition (2015)

  •  

    BilBOWA: Fast Bilingual Distributed Representations without Word Alignments

    Stephan Gouws, Yoshua Bengio, Greg Corrado

    Proceedings of the 32nd International Conference on Machine Learning (2015)

  • Calculus on Computational Graphs: Backpropagation

    Christopher Olah

    colah.github.io (2015)

  •  

    Category-Driven Approach for Local Related Business Recommendations

    Yonathan Perez, Michael Schueppert, Matthew Lawlor, Shaunak Kishore

    Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, ACM, New York, NY (2015), pp. 73-82

  • Context dependent phone models for LSTM RNN acoustic modelling

    Andrew W. Senior, Hasim Sak, Izhak Shafran

    ICASSP (2015), pp. 4585-4589

  • Convolutional, Long Short-Term Memory, Fully Connected Deep Neural Networks

    Tara Sainath, Oriol Vinyals, Andrew Senior, Hasim Sak

    ICASSP (2015)

  •  

    Deep Networks With Large Output Spaces

    Sudheendra Vijayanarasimhan, Jonathon Shlens, Rajat Monga, Jay Yagnik

    International Conference on Learning Representations (2015)

  •  

    Diagnosing Automatic Whitelisting for Dynamic Remarketing Ads Using Hybrid ASP

    Alex Brik, Jeffrey Remmel

    Francesco Calimeri, Giovambattista Ianni, Miroslaw Truszczynski. Logic Programming and Nonmonotonic Reasoning, 13th International Conference, LPNMR 2015, Lexington, September 27-30, 2015. Proceedings., Springer International Publishing AG, Gewerbestrasse 11, CH-6330 Cham (ZG), Switzerland, t.b.d. (to appear)

  •  

    Dirichlet-Hawkes Processes with Applications to Clustering Continuous-Time Document Streams

    Nan Du, Mehrdad Farajtabar, Amr Ahmed, Alexander J. Smola, Le Song

    Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (2015), pp. 219-228

  •  

    Document embedding with paragraph vectors

    Andrew M. Dai, Christopher Olah, Quoc V. Le

    NIPS Deep Learning Workshop (2015)

  •  

    Efficient Inference and Structured Learning for Semantic Role Labeling

    Oscar Täckström, Kuzman Ganchev, Dipanjan Das

    Transactions of the Association for Computational Linguistics, vol. 3 (2015), pp. 29-41

  •  

    Efficient Large Scale Video Classification

    Balakrishnan Varadarajan, George Toderici, Paul Natsev, Sudheendra Vijayanarasimhan

    dblp computer science bibliography, http://dblp.org (2015) (to appear)

  • Embedding Inference for Structured Multilabel Prediction

    Farzaneh Mirzazadeh, Siamak Ravanbakhsh, Nan Ding, Dale Schuurmans

    Advances in Neural Information Processing Systems (2015)

  • Explaining and Harnessing Adversarial Examples

    Ian Goodfellow, Jonathon Shlens, Christian Szegedy

    International Conference on Learning Representations (2015)

  •  

    Fast Orthogonal Projection Based on Kronecker Product

    Xu Zhang, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shih-Fu Chang

    International Conference on Computer Vision (ICCV) (2015)

  • Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition

    Hasim Sak, Andrew W. Senior, Kanishka Rao, Françoise Beaufays

    CoRR, vol. abs/1507.06947 (2015)

  •  

    Federated Optimization: Distributed Optimization Beyond the Datacenter

    Jakub Konečný, H. Brendan McMahan, Daniel Ramage

    NIPS Optimization for Machine Learning Workshop (2015), pp. 5

  •  

    Going Deeper with Convolutions

    Christian Szegedy, Wei Liu, Yangqing Jia, Pierre Sermanet, Scott Reed, Dragomir Anguelov, Dumitru Erhan, Vincent Vanhoucke, Andrew Rabinovich

    Computer Vision and Pattern Recognition (CVPR) (2015)

  • Grammar as a Foreign Language

    Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey Hinton

    NIPS (2015)

  • Grapheme-to-Phoneme Conversion Using Long Short-Term Memory Recurrent Neural Networks

    Kanishka Rao, Fuchun Peng, Hasim Sak, Françoise Beaufays

    ICASSP (2015)

  •  

    Im2Calories: towards an automated mobile vision food diary

    Austin Myers, Nick Johnston, Vivek Rathod, Anoop Korattikara, Alex Gorban, Nathan Silberman, Sergio Guadarrama, George Papandreou, Jonathan Huang, Kevin Murphy

    ICCV (2015)

  •  

    Improving User Topic Interest Profiles by Behavior Factorization

    Zhe Zhao, Zhiyuan Cheng, Lichan Hong, Ed H. Chi

    Proceedings of the 24th International Conference on World Wide Web, International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland (2015), pp. 1406-1416

  • Inceptionism: Going Deeper into Neural Networks

    Alexander Mordvintsev, Christopher Olah, Mike Tyka

    Google Research Blog (2015)

  •  

    Label Transition and Selection Pruning and Automatic Decoding Parameter Optimization for Time-Synchronous Viterbi Decoding

    Yasuhisa Fujii, Dmitriy Genzel, Ashok C. Popat, Remco Teunen

    13th International Conference on Document Analysis and Recognition (ICDAR), IEEE (2015), pp. 756-760

  •  

    Large Scale Business Discovery from Street Level Imagery

    Qian Yu, Christian Szegedy, Martin C. Stumpe, Liron Yatziv, Vinay Shet, Julian Ibarz, Sacha Arnoud

    arXiv (2015)

  •  

    Large-scale, sequence-discriminative, joint adaptive training for masking-based robust ASR

    Arun Narayanan, Ananya Misra, Kean Chin

    INTERSPEECH-2015, ISCA, pp. 3571-3575

  • Learning acoustic frame labeling for speech recognition with recurrent neural networks

    Hasim Sak, Andrew W. Senior, Kanishka Rao, Ozan Irsoy, Alex Graves, Françoise Beaufays, Johan Schalkwyk

    ICASSP (2015), pp. 4280-4284

  • Learning semantic relationships for better action retrieval in images

    Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Chuck Rosenberg, Li Fei-Fei

    CVPR (2015)

  • Learning to Execute

    Wojciech Zaremba, Ilya Sutskever

    arXiv (2015)

  •  

    Learning with Deep Cascades

    Giulia DeSalvo, Mehryar Mohri, Umar Syed

    Proceedings of the Twenty-Sixth International Conference on Algorithmic Learning Theory (ALT 2015)

  • Long-Short Term Memory Neural Network for Keyboard Gesture Recognition

    Ouais Alsharif, Tom Ouyang, Françoise Beaufays, Shumin Zhai, Thomas Breuel, Johan Schalkwyk

    International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2015)

  •  

    Massively Multitask Networks for Drug Discovery

    Bharath Ramsundar, Steven Kearnes, Patrick Riley, Dale Webster, David Konerding, Vijay Pande

    arXiv:1502.02072 [stat.ML] (2015)

  • Micro-Auction-Based Traffic-Light Control: Responsive, Local Decision Making

    Michele Covell, Shumeet Baluja, Rahul Sukthankar

    International Conference on Intelligent Transportation Systems (2015)

  • Minimum Description Length (MDL) Regularization for Online Learning

    Gil I Shamir

    JMLR: Workshop and Conference Proceedings, JMLR (2015), pp. 260-276

  •  

    Modeling the Lifespan of Discourse Entities with Application to Coreference Resolution

    Marie-Catherine de Marneffe, Marta Recasens, Christopher Potts

    Journal of Artificial Intelligence Research, vol. 52 (2015), pp. 445-475

  • Move evaluation in go using deep convolutional neural networks

    Chris J. Maddison, Aja Huang, Ilya Sutskever, David Silver

    ICLR, ICLR (2015)

  •  

    Multi-armed bandit experiments in the online service economy

    Steven L. Scott

    Applied Stochastic Models in Business and Industry, vol. 31 (2015), pp. 37-49

  •  

    Multinomial Loss on Held-out Data for the Sparse Non-negative Matrix Language Model

    Ciprian Chelba, Fernando Pereira

    ArXiv, Google (2015)

  • Neural Networks, Types, and Functional Programming

    Christopher Olah

    colah.github.io (2015)

  • On the Convergence of Stochastic Gradient MCMC Algorithms with High-Order Integrators

    Changyou Chen, Nan Ding, Lawrence Carin

    Advances in Neural Information Processing Systems (2015)

  • On-line learning algorithms for path experts with non-additive losses

    Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Manfred K. Warmuth

    Proceedings of The 28th Annual Conference on Learning Theory (COLT 2015)

  • Probabilistic Label Relation Graphs with Ising Models

    Nan Ding, Jia Deng, Kevin Murphy, Hartmut Neven

    International Conference on Computer Vision (2015)

  •  

    Product Echo State Networks: Time-Series Computation with Multiplicative Neurons

    Alireza Goudarzi, Alireza Shabani, Darko Stefanovic

    The 2015 International Joint Conference on Neural Networks (IJCNN) (to appear)

  • Product Reservoir Computing: Time-Series Computation with Multiplicative Neurons

    Alireza Goudarzi, Alireza Shabani, Darko Stefanovic

    2015 International Joint Conference on Neural Networks (IJCNN) (2015)

  • Qualitatively Characterizing Neural Network Optimization Problems

    Ian Goodfellow, Oriol Vinyals, Andrew Saxe

    International Conference on Learning Representations (2015)

  • Reinforcement learning neural Turing machines

    Wojciech Zaremba, Ilya Sutskever

    Google Inc. (2015)

  •  

    Resolving Discourse-Deictic Pronouns: A Two-Stage Approach to Do It

    Sujay Kumar Jauhar, Raul D. Guerra, Edgar Gonzàlez Pellicer, Marta Recasens

    Proceedings of the 4th Joint Conference on Lexical and Computational Semantics (SEM 2015), pp. 299-308

  • Scalable and interpretable data representation for high-dimensional complex data

    Been Kim, Kayur Patel, Afshin Rostamizadeh, Julie Shah

    AAAI Conference on Artificial Intelligence (2015)

  •  

    Scalable, high-quality object detection

    Christian Szegedy, Scott Reed, Dumitru Erhan, Dragomir Anguelov

    arXiv (2015)

  •  

    Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

    Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam M. Shazeer

    Advances in Neural Information Processing Systems, NIPS (2015)

  •  

    Semi-supervised sequence learning

    Andrew M. Dai, Quoc V. Le

    Advances in Neural Information Processing Systems, NIPS (2015)

  •  

    Sentence Compression by Deletion with LSTMs

    Katja Filippova, Enrique Alfonseca, Carlos Colmenares, Lukasz Kaiser, Oriol Vinyals

    Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP'15)

  •  

    Show and tell: A neural image caption generator

    Oriol Vinyals, Alexander Toshev, Samy Bengio, Dumitru Erhan

    Computer Vision and Pattern Recognition (2015)

  •  

    Sparse Non-negative Matrix Language Modeling For Skip-grams

    Noam M. Shazeer, Joris Pelemans, Ciprian Chelba

    Proceedings of Interspeech 2015, ISCA, pp. 1428-1432

  •  

    Sparse Non-negative Matrix Language Modeling for Geo-annotated Query Session Data

    Ciprian Chelba, Noam M. Shazeer

    Automatic Speech Recognition and Understanding Workshop (ASRU 2015) Proceedings, IEEE, to appear (to appear)

  •  

    Spherical Random Features for Polynomial Kernels

    Jeffrey Pennington, Felix X. Yu, Sanjiv Kumar

    Neural Information Processing Systems (NIPS) (2015)

  •  

    Statistical parametric speech synthesis: from HMM to LSTM-RNN

    Heiga Zen

    RTTH Summer School on Speech Technology -- A Deep Learning Perspective, Barcelona, Spain (2015)

  •  

    Structural maxent models

    Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri, Umar Syed

    Proceedings of the Thirty-Second International Conference on Machine Learning (ICML 2015)

  •  

    Structured Transforms for Small-footprint Deep Learning

    Vikas Sindhwani, Tara N. Sainath, Sanjiv Kumar

    Neural Information Processing Systems (NIPS) (2015)

  •  

    TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

    Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Jozefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng

    tensorflow.org (2015)

  •  

    The Virtues of Peer Pressure: A Simple Method for Discovering High-Value Mistakes

    Shumeet Baluja, Michele Covell, Rahul Sukthankar

    International Conference on Computer Analysis of Images and Patterns (2015)

  • To Have a Tiger by the Tail: Improving Music Recommendation for International Users

    Philippe Hamel

    Machine Learning for Music Discovery Workshop, ICML 2015

  •  

    Towards Principled Unsupervised Learning

    Ilya Sutskever, Rafal Jozefowicz, Karol Gregor, Danilo Rezende, Tim Lillicrap, Oriol Vinyals

    Google Inc. (2015)

  • Train faster, generalize better: Stability of stochastic gradient descent

    Benjamin Recht, Moritz Hardt, Yoram Singer

    arXiv (2015)

  •  

    Training Deep Neural Networks on Noisy Labels with Bootstrapping

    Scott E. Reed, Honglak Lee, Dragomir Anguelov, Christian Szegedy, Dumitru Erhan, Andrew Rabinovich

    ICLR 2015

  • Understanding LSTM Networks

    Christopher Olah

    colah.github.io (2015)

  •  

    Unidirectional Long Short-Term Memory Recurrent Neural Network with Recurrent Output Layer for Low-Latency Speech Synthesis

    Heiga Zen, Hasim Sak

    Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE (2015), pp. 4470-4474

  •  

    Using Recurrent Neural Networks for Slot Filling in Spoken Language Understanding

    Grégoire Mesnil, Yann Dauphin, Kaisheng Yao, Yoshua Bengio, Li Deng, Dilek Hakkani-Tür, Xiaodong He, Larry Heck, Gokhan Tur, Dong Yu, Geoffrey Zweig

    IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 23 (2015), pp. 530-539

  • Visual Information Theory

    Christopher Olah

    colah.github.io (2015)

  • Weakly Supervised Clustering: Learning Fine-Grained Signals from Coarse Labels

    Stefan Wager, Alexander W Blocker, Niall Cardin

    Annals of Applied Statistics, vol. 9 (2015), pp. 801-820

  •  

    A Discriminative Latent Variable Model for Online Clustering

    Rajhans Samdani, Kai-Wei Chang, Dan Roth

    International Conference on Machine Learning (2014) (to appear)

  •  

    A Survey of Algorithms and Analysis for Adaptive Online Learning

    H. Brendan McMahan

    Preprint (2014)

  •  

    Affinity Weighted Embedding

    Jason Weston, Ron Weiss, Hector Yee

    International Conference on Machine Learning (2014)

  • Applications of Maximum Entropy Rankers to Problems in Spoken Language Processing

    Richard Sproat, Keith Hall

    Interspeech 2014, International Speech Communications Association

  •  

    Asynchronous Stochastic Optimization for Sequence Training of Deep Neural Networks

    Georg Heigold, Erik McDermott, Vincent Vanhoucke, Andrew Senior, Michiel Bacchiani

    Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Firenze, Italy (2014)

  • Asynchronous Stochastic Optimization for Sequence Training of Deep Neural Networks: Towards Big Data

    Erik McDermott, Georg Heigold, Pedro Moreno, Andrew Senior, Michiel Bacchiani

    Interspeeech, ISCA (2014)

  • Automatic Language Identification using Long Short-Term Memory Recurrent Neural Networks

    Javier Gonzalez-Dominguez, Ignacio Lopez-Moreno, Hasim Sak

    Interspeech (2014)

  •  

    Autoregressive Product of Multi-frame Predictions Can Improve the Accuracy of Hybrid Models

    Navdeep Jaitly, Vincent Vanhoucke, Geoffrey Hinton

    Proceedings of Interspeech 2014

  •  

    Bayesian Sampling using Stochastic Gradient Thermostats

    Nan Ding, Youhan Fang, Ryan Babbush, Changyou Chen, Robert Skeel, Hartmut Neven

    Advances in Neural Information Processing Systems (2014), pp. 3203-3211

  •  

    Bridging Text and Knowledge with Frames

    Srini Narayanan

    ACL Workshop on Frame Semantics (in honor of Charles FIllmore) (2014)

  •  

    Cicada: Predictive Guarantees for Cloud Network Bandwidth

    Katrina LaCurts, Jeffrey C Mogul, Hari Balakrishnan, Yoshio Turner

    MIT (2014), MIT-CSAIL-TR-2014-004

  •  

    Circulant Binary Embedding

    Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang

    International Conference on Machine Learning (ICML) (2014)

  •  

    Construction of Non-Convex Polynomial Loss Functions for Training a Binary Classifier with Quantum Annealing

    Ryan Babbush, Vasil Denchev, Nan Ding, Sergei Isakov, Hartmut Neven

    arXiv preprint 1406.4203 (2014)

  •  

    Corporate learning at scale: Lessons from a large online course at Google

    Arthur Asuncion, Jac de Haan, Mehryar Mohri, Kayur Patel, Afshin Rostamizadeh, Umar Syed, Lauren Wong

    Learning at Scale (2014)

  •  

    DaMN – Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition

    Rui Hou, Amir Roshan Zamir, Rahul Sukthankar, Mubarak Shah

    Proceedings of European Conference on Computer Vision (2014)

  • Deep Convolutional Ranking for Multilabel Image Annotation

    Yunchao Gong, Yangqing Jia, Alexander Toshev, Thomas Leung, Sergey Ioffe

    International Conference on Learning Representations (2014) (to appear)

  • Deep Neural Networks for Small Footprint Text-dependent Speaker Verification

    Ehsan Variani, Xin Lei, Erik McDermott, Ignacio Lopez Moreno, Javier Gonzalez-Dominguez

    Proc. ICASSP, IEEE (2014)

  •  

    Deep boosting

    Corinna Cortes, Mehryar Mohri, Umar Syed

    Proceedings of the Thirty-First International Conference on Machine Learning (ICML 2014)

  •  

    Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning

    H. Brendan McMahan, Matthew Streeter

    Advances in Neural Information Processing Systems (NIPS) (2014)

  •  

    Discrete Graph Hashing

    Wei Liu, Cun Mu, Sanjiv Kumar, Shih-Fu Chang

    Neural Information Processing Systems (2014)

  •  

    Distilling the Knowledge in a Neural Network

    Geoffrey Hinton, Oriol Vinyals, Jeffrey Dean

    NIPS Deep Learning and Representation Learning Workshop (2014)

  •  

    Distributed Representations of Sentences and Documents

    Quoc V. Le, Tomas Mikolov

    International Conference on Machine Learning (2014)

  • Domain adaptation and sample bias correction theory and algorithm for regression

    Corinna Cortes, Mehryar Mohri

    Theoretical Computer Science, vol. 519 (2014)

  • Enhanced Search with Wildcards and Morphological Inflections in the Google Books Ngram Viewer

    Jason Mann, David Zhang, Lu Yang, Dipanjan Das, Slav Petrov

    Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics (Demonstrations), Association for Computational Linguistics (2014)

  • Ensemble methods for structured prediction

    Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri

    Proceedings of the 31st International Conference on Machine Learning (ICML 2014)

  •  

    Evolving QWOP gaits

    Steven Ray, Vahl Scott Gordon, Laurent Vaucher

    GECCO '14 Proceedings of the 2014 conference on Genetic and evolutionary computation, ACM, Vancouver, pp. 823-830

  •  

    Frame-Semantic Parsing

    Dipanjan Das, Desai Chen, André F. T. Martins, Nathan Schneider, Noah A. Smith

    Computational Linguistics, vol. 40:1 (2014), pp. 9-56

  • Insulin Resistance: Regression and Clustering

    Sangho Yoon

    PLoS ONE, vol. 9(6) (2014)

  •  

    Intriguing properties of neural networks

    Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, Rob Fergus

    International Conference on Learning Representations (2014)

  • Large Scale Deep Learning

    Jeffrey Dean

    Tsinghua University (2014)

  •  

    Large-scale Video Classification with Convolutional Neural Networks

    Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei

    Proceedings of International Computer Vision and Pattern Recognition (CVPR 2014), IEEE

  • Learning Factored Representations in a Deep Mixture of Experts

    David Eigen, Marc'Aurelio Ranzato, Ilya Sutskever

    arVix (2014)

  •  

    Learning Fine-grained Image Similarity with Deep Ranking

    Jiang Wang, Yang Song, Thomas Leung, Chuck Rosenberg, Jingbin Wang, James Philbin, Bo Chen, Ying Wu

    CVPR'2014, IEEE

  • Learning ensembles of structured prediction rules

    Corinna Cortes, Vitaly Kuznetsov, Mehryar Mohri

    Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics (ACL 2014)

  •  

    Local Collaborative Ranking

    Joonseok Lee, Samy Bengio, Seungyeon Kim, Guy Lebanon, Yoram Singer

    Proceedings of the 23rd International World Wide Web Conference (WWW), ACM (2014)

  • Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

    Hasim Sak, Andrew W. Senior, Françoise Beaufays

    CoRR, vol. abs/1402.1128 (2014)

  • Long short-term memory recurrent neural network architectures for large scale acoustic modeling

    Hasim Sak, Andrew W. Senior, Françoise Beaufays

    INTERSPEECH (2014), pp. 338-342

  •  

    Machine Learning Applications for Data Center Optimization

    Jim Gao

    Google (2014)

  • Machine Learning in an Auction Environment

    Patrick Hummel, Preston McAfee

    Proceedings of the 23rd International Conference on the World Wide Web (WWW) (2014), pp. 7-18

  •  

    Machine Learning: The High Interest Credit Card of Technical Debt

    D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young

    SE4ML: Software Engineering for Machine Learning (NIPS 2014 Workshop)

  •  

    Multi-Class Deep Boosting

    Vitaly Kuznetsov, Mehryar Mohri, Umar Syed

    Advances in Neural Information Processing Systems (2014)

  • Projecting the Knowledge Graph to Syntactic Parsing

    Andrea Gesmundo, Keith Hall

    EACL 2014: 15th Conference of the European Chapter of the Association for Computational Linguistics

  •  

    Random Walk Initialization for Training Very Deep Feedforward Networks

    David Sussillo, L.F. Abbott

    arXiv preprint, Google Inc. (2014), pp. 1-10

  •  

    Recurrent Neural Network Regularization

    Wojciech Zaremba, Ilya Sutskever, Oriol Vinyals

    Google Inc. (2014)

  • Reducing the Sampling Complexity of Topic Models

    Aaron Li, Amr Ahmed, Sujith Ravi, Alexander J Smola

    ACM Conference on Knowledge Discovery and Data Mining (KDD) (2014)

  •  

    Repeated Contextual Auctions with Strategic Buyers

    Kareem Amin, Afshin Rostamizadeh, Umar Syed

    Advances in Neural Information Processing Systems (2014)

  •  

    Revisiting Stein's Paradox: Multi-Task Averaging

    Sergey Feldman, Maya R. Gupta, Bela A. Frigyik

    Journal Machine Learning Research, vol. 15 (2014)

  •  

    Scalable Hierarchical Multitask Learning Algorithms for Conversion Optimization in Display Advertising

    Amr Ahmed, Abhimanyu Das, Alexander J. Smola

    ACM International Conference on Web Search And Data Mining (WSDM) (2014)

  • Scaling Distributed Machine Learning with the Parameter Server

    Mu Li, David G. Anderson, Jun Woo Park, Alexander J. Smola, Amr Ahmed, Vanja Josifovski, James Long, Eugene J. Shekita, Bor-Yiing Su

    Operating Systems Design and Implementation (OSDI), USENIX (2014), pp. 583-598

  •  

    Semantic Frame Identification with Distributed Word Representations

    Karl Moritz Hermann, Dipanjan Das, Jason Weston, Kuzman Ganchev

    Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics (2014)

  •  

    Sequence Discriminative Distributed Training of Long Short-Term Memory Recurrent Neural Networks

    Hasim Sak, Oriol Vinyals, Georg Heigold, Andrew Senior, Erik McDermott, Rajat Monga, Mark Mao

    Interspeech (2014)

  •  

    Sequence to Sequence Learning with Neural Networks

    Ilya Sutskever, Oriol Vinyals, Quoc V. Le

    Proc. NIPS, Montreal, CA (2014)

  •  

    Skip-gram Language Modeling Using Sparse Non-negative Matrix Probability Estimation

    Noam M. Shazeer, Joris Pelemans, Ciprian Chelba

    Google (2014)

  • Small-Footprint Keyword Spotting using Deep Neural Networks

    Guoguo Chen, Carolina Parada, Georg Heigold

    ICASSP, IEEE (2014)

  •  

    Statistical Parametric Speech Synthesis

    Heiga Zen

    UKSpeech Conference, Edinburgh, UK (2014)

  •  

    Taxonomy Discovery for Personalized Recommendation

    Yuchen Zhang, Amr Ahmed, Vanja Josifovski, Alexander J Smola

    ACM International Conference on Web Search And Data Mining (WSDM) (2014)

  •  

    The End is Nigh: Generic Solving of Text-based CAPTCHAs

    Elie Bursztein, Jonathan Aigrain, Angelika Moscicki, John C. Mitchell

    WOOT'14 Proceedings of the 8th USENIX conference on Offensive Technologies, Usenix (2014)

  •  

    Theoretical Foundations for Learning Kernels in Supervised Kernel PCA

    Mehryar Mohri, Afshin Rostamizadeh, Dmitry Storcheus

    Modern Nonparametrics 3: Automating the Learning Pipeline, Neural Information Processing Systems, Workshop (2014)

  •  

    Training Highly Multi-class Linear Classifiers

    Maya R. Gupta, Samy Bengio, Jason Weston

    Journal Machine Learning Research (JMLR) (2014), 1461-−1492

  •  

    Unconstrained Online Linear Learning in Hilbert Spaces: Minimax Algorithms and Normal Approximations

    H. Brendan McMahan, Francesco Orabona

    Proceedings of the 27th Annual Conference on Learning Theory (COLT) (2014)

  •  

    Up Next: Retrieval Methods for Large Scale Related Video Suggestion

    Michael Bendersky, Lluis Garcia Pueyo, Vanja Josifovski, Jeremiah J. Harmsen, Dima Lepikhin

    Proceedings of KDD 2014, New York, NY, USA, pp. 1769-1778

  •  

    Video Object Discovery and Co-segmentation with Extremely Weak Supervision

    Le Wang, Gang Hua, Rahul Sukthankar, Jianru Xue, Nanning Zheng

    Proceedings of European Conference on Computer Vision (2014)

  •  

    Word Embeddings for Speech Recognition

    Samy Bengio, Georg Heigold

    Proceedings of the 15th Conference of the International Speech Communication Association, Interspeech (2014)

  •  

    Zero-Shot Learning by Convex Combination of Semantic Embeddings

    Mohammad Norouzi, Tomas Mikolov, Samy Bengio, Yoram Singer, Jonathon Shlens, Andrea Frome, Greg Corrado, Jeffrey Dean

    International Conference on Learning Representations (2014)

  •  

    3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding

    Scott Satkin, Martial Hebert

    Proceedings of the International Conference on Computer Vision (ICCV) (2013) (to appear)

  • A Generic Technique for Synthesizing Bounded Finite-State Controllers

    Yuxiao Hu, Giuseppe De Giacomo

    Proceedings of the International Conference on Automated Planning and Scaduling, Association for the Advancement of Artificial Intelligence (2013), pp. 109-116

  •  

    A Method for Measuring Online Audiences

    Jim Koehler, Evgeny Skvortsov, Wiesner Vos

    Google Inc (2013), pp. 1-24 (to appear)

  • A Semantic Matching Energy Function for Learning with Multi-relational Data

    Xavier Glorot, Antoine Bordes, Jason Weston, Yoshua Bengio

    International Conference on Learning Representations (2013)

  •  

    Ad Click Prediction: a View from the Trenches

    H. Brendan McMahan, Gary Holt, D. Sculley, Michael Young, Dietmar Ebner, Julian Grady, Lan Nie, Todd Phillips, Eugene Davydov, Daniel Golovin, Sharat Chikkerur, Dan Liu, Martin Wattenberg, Arnar Mar Hrafnkelsson, Tom Boulos, Jeremy Kubica

    Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) (2013)

  • Affinity Weighted Embedding

    Jason Weston, Ron Weiss, Hector Yee

    International Conference on Learning Representations (2013)

  • An Empirical study of learning rates in deep neural networks for speech recognition

    Andrew Senior, Georg Heigold, Marc'aurelio Ranzato, Ke Yang

    Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Vancouver, CA (2013) (to appear)

  • Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction

    Valentin I. Spitkovsky, Daniel Jurafsky, Hiyan Alshawi

    2013 Conference on Empirical Methods in Natural Language Processing (EMNLP 2013; Best Paper Award)

  •  

    Classifying with Confidence From Incomplete Test Data

    Nathan Parris, Hyrum S. Anderson, Maya R. Gupta, Dun Yu Hsaio

    Journal Machine Learning Research (JMLR), vol. 14 (2013)

  •  

    Cluster forest

    Donghui Yan, Aiyou Chen, Michael I Jordan

    Computational Statistics and Data Analysis, vol. 66 (2013), pp. 178-192

  • Comparative study of classifiers to mitigate intersymbol interference in diffuse indoor optical wireless communication links

    Sujan Rajbhandari, Joe Faith, Zabih Ghassemlooy

    Optik - International Journal for Light and Electron Optics (2013)

  • Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction

    Jason Weston, Antoine Bordes, Oksana Yakhnenko, Nicolas Usunier

    Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing.

  •  

    Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization

    Kuzman Ganchev, Dipanjan Das

    Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

  •  

    Data Fusion: Resolving Conflicts from Multiple Sources

    Xin Luna Dong, Laure Berti-Equille, Divesh Srivastava

    WAIM (2013), pp. 64-76 (to appear)

  •  

    DeViSE: A Deep Visual-Semantic Embedding Model

    Andrea Frome, Greg Corrado, Jonathon Shlens, Samy Bengio, Jeffrey Dean, Marc’Aurelio Ranzato, Tomas Mikolov

    Neural Information Processing Systems (NIPS) (2013)

  •  

    Deep Learning in Speech Synthesis

    Heiga Zen

    8th ISCA Speech Synthesis Workshop, Barcelona, Spain (2013)

  • Deep Learning via Semi-Supervised Embedding

    Jason Weston, Frederic Ratle, Hossein Mobahi, Ronan Collobert

    Neural Networks Tricks of the Trade, Reloaded, Springer (2013)

  • Deep Neural Networks for Object Detection

    Christian Szegedy, Alexander Toshev, Dumitru Erhan

    Advances in Neural Information Processing Systems (2013)

  •  

    Discriminative Segment Annotation in Weakly Labeled Video

    Kevin Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei

    Proceedings of International Conference on Computer Vision and Pattern Recognition (CVPR 2013)

  • Distributed Large-scale Natural Graph Factorization

    Amr Ahmed, Nino Shervashidze, Shravan Narayanamurthy,, Vanja Josifovski, Alexander J Smola

    Proceedings of the 22nd International World Wide Web Conference (WWW 2013) (to appear)

  • Distributed Representations of Words and Phrases and their Compositionality

    Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, Jeffrey Dean

    Neural and Information Processing System (NIPS) (2013)

  •  

    Efficient Estimation of Word Representations in Vector Space

    Tomas Mikolov, Kai Chen, Greg S. Corrado, Jeffrey Dean

    International Conference on Learning Representations (2013)

  •  

    Efficient Learning of Sparse Ranking Functions

    Mark Stevens, Samy Bengio, Yoram Singer

    Empirical Inference, Springer (2013)

  •  

    Estimation, Optimization, and Parallelism when Data is Sparse

    John C. Duchi, Michael I. Jordan, H. Brendan McMahan

    Advances in Neural Information Processing Systems (NIPS) (2013)

  •  

    Exploiting Similarities among Languages for Machine Translation

    Tomas Mikolov, Quoc V. Le, Ilya Sutskever

    ARXIV (2013)

  •  

    Fast, Accurate Detection of 100,000 Object Classes on a Single Machine

    Thomas Dean, Mark Ruzon, Mark Segal, Jonathon Shlens, Sudheendra Vijayanarasimhan, Jay Yagnik

    Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, IEEE Computer Society, Washington, DC, USA (2013)

  •  

    Fastfood - Approximating Kernel Expansions in Loglinear Time

    Quoc Le, Tamas Sarlos, Alex Smola

    30th International Conference on Machine Learning (ICML), Omnipress (2013)

  • Fastfood-computing hilbert space expansions in loglinear time

    Quoc V. Le, Tamas Sarlos, Alex Smola

    International Conference on Machine Learning (2013) (to appear)

  •  

    Focused Marix Factorization for Audience Selection in Display Advertising

    Bhargav Kanagal, Amr Ahmed, Sandeep Pandey, Vanja Josifovski, Lluis Garcia-Pueyo, Jeff Yuan

    Proceedings of the 29th International Conference on Data Engineering (ICDE) (2013)

  • Grounded compositional semantics for finding and describing images with sentences

    Richard Socher, Andrej Karpathy, Quoc V. Le, Chris D. Manning, Andrew Y. Ng

    Transactions of the Association for Computational Linguistics (2013) (to appear)

  • Guest editors' introduction: Special section on learning deep architectures

    Samy Bengio, Li Deng, Hugo Larochelle, Honglak Lee, Ruslan Salakhutdinov

    IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 35 (2013), pp. 1795-1797

  •  

    HMM-based script identification for OCR

    Dmitriy Genzel, Ashok Popat, Remco Teunen, Yasuhisa Fujii

    Proceedings of the 4th International Workshop on Multilingual OCR, ACM, New York, NY, US (2013), 2:1-2:5

  • Handbook of Human Computation

    Pietro Michelucci, Peng Dai

    Springer (2013)

  • Hierarchical Geographical Modeling of User locations from Social Media Posts

    Amr Ahmed, Liangjie Hong, Alexander J Smola

    Proceedings of the 22nd International World Wide Web Conference (WWW 2013) (to appear)

  • Image Annotation in Presence of Noisy Labels

    Chandrashekhar V., Shailesh Kumar, C. V. Jawahar

    International Conference on Pattern Recognition and Machine Intelligence (2013) (to appear)

  • KDD tutorial: The Dataminer Guide to Scalable Mixed-Membership and Nonparametric Bayesian Models

    Amr Ahmed, Alexander J Smola

    ACM conference on Knowledge Discovery and Data Mining (KDD) (2013) (to appear)

  • Label Partitioning for Sublinear Ranking

    Jason Weston, Ameesh Makadia, Hector Yee

    International Conference on Machine Learning (2013)

  • Language-Independent Discriminative Parsing of Temporal Expressions

    Gabor Angeli, Jakob Uszkoreit

    The 51st Annual Meeting of the Association for Computational Linguistics (ACL 2013) (to appear)

  •  

    Large Scale Distributed Acoustic Modeling With Back-off N-grams

    Ciprian Chelba, Peng Xu, Fernando Pereira, Thomas Richardson

    IEEE Transactions on Audio, Speech and Language Processing, vol. 21 (2013), pp. 1158-1169

  •  

    Large Scale Distributed Acoustic Modeling With Back-off N-grams

    Ciprian Chelba, Peng Xu, Fernando Pereira, Thomas Richardson

    ICSI, Berkeley, California (2013)

  • Large Scale SVD and Manifold Learning

    Ameet Talwalkar, Sanjiv Kumar, Mehryar Morhri, Henry A. Rowley

    Journal of Machine Learning Research (JMLR) (2013)

  •  

    Large-Scale Learning with Less RAM via Randomization

    Daniel Golovin, D. Sculley, H. Brendan McMahan, Michael Young

    Proceedings of the 30 International Conference on Machine Learning (ICML) (2013), pp. 10

  •  

    Latent Factor Models with Additive Hierarchically-smoothed User Preferences

    Amr Ahmed, Bhargav Kanagal, Sandeep Pandey, Vanja Josifovski, Lluis Garcia-Pueyo

    Proceedings of The 6th ACM International Conference on Web Search and Data Mining (WSDM) (2013)

  •  

    Learning Binary Codes for High Dimensional Data Using Bilinear Projections

    Yunchao Gong, Sanjiv Kumar, Henry Rowley, Svetlana Lazebnik

    IEEE Computer Vision and Pattern Recognition (2013)

  •  

    Learning Multiple Non-Linear Sub-Spaces using K-RBMs

    Siddhartha Chandra, Shailesh Kumar, C. V. Jawahar

    Computer Vision and Pattern Recognition (2013)

  •  

    Learning Prices for Repeated Auctions with Strategic Buyers

    Kareem Amin, Afshin Rostamizadeh, Umar Syed

    Neural Information Processing Systems (2013)

  • Learning Semantic Representations Of Objects And Their Parts.

    G Mesnil, Antoine Bordes, Jason Weston, Gal Chechik, Yoshua Bengio

    Special Issue on Learning Semantics in Machine Learning Journal (2013) (to appear)

  •  

    Learning kernels using local rademacher complexity

    Corinna Cortes, Marius Kloft, Mehryar Mohri

    Advances in Neural Information Processing Systems (NIPS 2013), MIT Press.

  •  

    Learning to Rank Recommendations with the k-Order Statistic Loss

    Jason Weston, Hector Yee, Ron Weiss

    ACM International Conference on Recommender Systems (RecSys) (2013)

  •  

    Local Low-Rank Matrix Approximation

    Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

    Proceedings of the 30th International Conference on Machine Learning (ICML), Journal of Machine Learning Research (2013)

  • Making touchscreen keyboards adaptive to keys, hand postures, and individuals: a hierarchical spatial backoff model approach

    Ying Yin, Tom Ouyang, Kurt Partridge, Shumin Zhai

    Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2013), ACM, New York, NY, pp. 2775-2784

  •  

    Matrix Approximation under Local Low-Rank Assumption

    Joonseok Lee, Seungyeon Kim, Guy Lebanon, Yoram Singer

    The Learning Workshop in International Conference on Learning Representations (ICLR) (2013)

  • Measurement and modeling of eye-mouse behavior

    Vidhya Navalpakkam, LaDawn Jentzsch, Rory Sayres, Sujith Ravi, Amr Ahmed, Alex J. Smola

    Proceedings of the 22nd International World Wide Web Conference (2013)

  •  

    Minimax Optimal Algorithms for Unconstrained Linear Optimization

    H. Brendan McMahan, Jacob Abernethy

    Advances in Neural Information Processing Systems (NIPS) (2013)

  •  

    Multi-Armed Recommendation Bandits for Selecting State Machine Policies for Robotic Systems

    Pyry Matikainen, P. Michael Furlong, Rahul Sukthankar, Martial Hebert

    Proceedings of International Conference on Robotics and Automation (ICRA 2013)

  • Multi-class classification with maximum margin multiple kernel

    Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

    Proceedings of the Thirtieth International Conference on Machine Learning (ICML 2013)

  • Multiframe Deep Neural Networks for Acoustic Modeling

    Vincent Vanhoucke, Matthieu Devin, Georg Heigold

    Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Vancouver, CA (2013)

  • Multilingual acoustic models using distributed deep neural networks

    Georg Heigold, Vincent Vanhoucke, Andrew Senior, Patrick Nguyen, Marc'aurelio Ranzato, Matthieu Devin, Jeff Dean

    Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE, Vancouver, CA (2013)

  • Neighborhood Preserving Codes for Assigning Point Labels: Applications to Stochastic Search

    Shumeet Baluja, Michele Covell

    Procedia Computer Science: 2013 International Conference on Computational Science, Elsevier, pp. 956-965

  •  

    Nonlinear Latent Factorization by Embedding Multiple User Interests

    Jason Weston, Ron Weiss, Hector Yee

    ACM International Conference on Recommender Systems (RecSys) (2013)

  •  

    On Rectified Linear Units For Speech Processing

    M.D. Zeiler, M. Ranzato, R. Monga, M. Mao, K. Yang, Q.V. Le, P. Nguyen, A. Senior, V. Vanhoucke, J. Dean, G.E. Hinton

    38th International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver (2013)

  •  

    One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

    Ciprian Chelba, Tomas Mikolov, Mike Schuster, Qi Ge, Thorsten Brants, Phillipp Koehn, Tony Robinson

    ArXiv, Google (2013)

  • POMDP-Based Control of Workflows for Crowdsourcing

    Peng Dai, Christopher H. Lin, Mausam, Daniel S. Weld

    Artificial Intelligence, vol. 202 (2013), pp. 52-85

  •  

    PRIME: Probabilistic Initial 3D Model Generation for Single-Particle Cryo-Electron Microscopy

    Hans Elmlund, Dominika Elmlund, Samy Bengio

    Structure, vol. 21 (2013), pp. 1299-1306

  •  

    Parallel Boosting with Momentum

    Indraneel Mukherjee, Kevin Canini, Rafael Frongillo, Yoram Singer

    ECML PKDD 2013, Part III, LNAI 8190, Springer, Heidelberg, pp. 17-32 (to appear)

  • Point Representation for Local Optimization: Towards Multi-Dimensional Gray Codes

    Shumeet Baluja, Michele Covell

    Proceedings IEEE Congress on Evolutionary Computation, IEEE (2013)

  •  

    ReFr: An Open-Source Reranker Framework

    Daniel M. Bikel, Keith B. Hall

    Interspeech 2013, pp. 756-758

  •  

    Recurrent Neural Networks for Voice Activity Detection

    Thad Hughes, Keir Mierle

    ICASSP, IEEE (2013), pp. 7378-7382

  •  

    Restricted Transfer learning for Text Categorization

    Rajhans Samdani, Gideon Mann

    NIPS Workshop (2013) (to appear)

  • Russian Stress Prediction using Maximum Entropy Ranking

    Keith Hall, Richard Sproat

    EMNLP, ACL (2013)

  • Scalable Decipherment for Machine Translation via Hash Sampling

    Sujith Ravi

    Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL) (2013)

  • Scalable Dynamic Nonparametric Bayesian Models of Content and Users

    Amr Ahmed, Eric P. Xing

    International Joint Conference on Artificial Intelligence (IJCAI - Best paper track) (2013) (to appear)

  • Search Results Based N-Best Hypothesis Rescoring With Maximum Entropy Classification

    Fuchun Peng, Scott Roy, Ben Shahshahani, Françoise Beaufays

    Proceedings of ASRU (2013)

  •  

    Similarity-based Clustering by Left-Stochastic Matrix Factorization

    Raman Arora, Maya R. Gupta, Amol Kapila, Maryam Fazel

    Journal Machine Learning Research (JMLR), vol. 14 (2013), pp. 1715-1746

  •  

    Spatiotemporal Deformable Part Models for Action Detection

    Yicong Tian, Rahul Sukthankar, Mubarak Shah

    Proceedings of International Conference on Computer Vision and Pattern Recognition (CVPR 2013)

  • The Nested Chinese Restaurant Franchise Process: User Tracking and Document Modeling

    Amr Ahmed, Liangjie Hong, Alexander J Smola

    International Conference on Machine Learning (ICML) (2013) (to appear)

  •  

    Transfer Learning In MIR: Sharing Learned Latent Representations For Music Audio Classification And Similarity

    Philippe Hamel, Matthew E. P. Davies, Kazuyoshi Yoshii, Masataka Goto

    14th International Conference on Music Information Retrieval (ISMIR '13) (2013)

  • Translating Embeddings for Modeling Multi-relational Data.

    Antoine Bordes, Nicolas Usunier, A. Garcia-Duran, Jason Weston, Oksana Yakhnenko

    Neural Information Processing Systems (2013)

  •  

    Using Web Co-occurrence Statistics for Improving Image Categorization

    Samy Bengio, Jeffrey Dean, Dumitru Erhan, Eugene Ie, Quoc Le, Andrew Rabinovich, Jonathon Shlens, Yoram Singer

    arXiv (2013)

  • pSVM for Learning with Label Proportions

    Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang

    International Conference on Machine Learning (ICML) (2013)

  • A Disambiguation Algorithm for Finite Automata and Functional Transducers

    Mehryar Mohri, Andres Munoz Medina

    CIAA (2012), pp. 265-277

  •  

    Accuracy at the Top

    Stephen Boyd, Corinna Cortes, Mehryar Mohri, Ana Radovanovic

    NIPS: Neural Information Processing Systems Foundation (2012)

  • Algorithms for Learning Kernels Based on Centered Alignment

    Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

    Journal of Machine Learning Research, vol. 13 (2012), pp. 795-828

  • Angular Quantization-based Binary Codes for Fast Similarity Search

    Yunchao Gong, Sanjiv Kumar, Vishal Verma, Svetlana Lazebnik

    Neural Information Processing Systems (NIPS) (2012)

  •  

    Application Of Pretrained Deep Neural Networks To Large Vocabulary Speech Recognition

    Navdeep Jaitly, Patrick Nguyen, Andrew Senior, Vincent Vanhoucke

    Proceedings of Interspeech 2012

  • Building Musically-relevant Audio Features through Multiple Timescale Representations

    Philippe Hamel, Yoshua Bengio, Douglas Eck

    Proceedings of the 13th International Society for Music Information Retrieval Conference, Porto, Portugal (2012)

  •  

    Building high-level features using large scale unsupervised learning

    Quoc Le, Marc'Aurelio Ranzato, Rajat Monga, Matthieu Devin, Kai Chen, Greg Corrado, Jeff Dean, Andrew Ng

    International Conference in Machine Learning (2012)

  •  

    Buildling adaptive dialogue systems via Bayes-adaptive POMDP

    Shaowei Png, Joelle Pineau, B. Chaib-draa

    IEEE Journal of Selected Topics in Signal Processing, vol. vol.6(8). 2012. (2012), pp. 917-927

  •  

    Compact Hyperplane Hashing with Bilinear Functions

    Wei Liu, Jun Wang, Yadong Mu, Sanjiv Kumar, Shih-Fu Chang

    International Conference on Machine Learning (ICML) (2012)

  •  

    Deep Neural Networks for Acoustic Modeling in Speech Recognition

    Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara Sainath, Brian Kingsbury

    Signal Processing Magazine (2012)

  • Distributed Gibbs sampling for latent variable models

    Arthur Asuncion, Padhraic Smyth, Max Welling, David Newman, Ian Porteous, Scott Triglia

    Scaling up Machine Learning, Cambridge (2012) (to appear)

  • FastEx: Hash Clustering with Exponential Families

    Amr Ahmed, Sujith Ravi, Shravan Narayanamurthy, Alex Smola

    Proceedings of the 26th Conference on Neural Information Processing Systems. (NIPS) (2012)

  •  

    Hokusai | Sketching Streams in Real Time

    Sergiy Matusevych, Alex Smola, Amr Ahmed

    Proceedings of the 28th International Conference on Conference on Uncertainty in Artificial Intelligence (UAI) (2012)

  •  

    Human Computation Must Be Reproducible

    Praveen Paritosh

    WWW 2012, Lyon.

  • Joint Image and Word Sense Discrimination For Image Retrieval

    Aurelien Lucchi, Jason Weston

    ECCV (2012)

  •  

    Large Scale Distributed Deep Networks

    Jeffrey Dean, Greg S. Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Quoc V. Le, Mark Z. Mao, Marc’Aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Andrew Y. Ng

    NIPS (2012)

  • Large Scale Visual Semantic Extraction

    Samy Bengio

    Frontiers of Engineering - Reports on Leading-Edge Engineering from the 2011 Symposium, The National Academies Press, Washington, D.C. (2012), pp. 61-68

  •  

    Latent Collaborative Retrieval

    Jason Weston, Chong Wang, Ron Weiss, Adam Berenzweig

    International Conference on Machine Learning (2012)

  • Latent Structured Ranking

    Jason Weston, John Blitzer

    UAI (2012)

  •  

    Learning Hierarchical Bag of Words Using Naive Bayes Clustering

    Siddhartha Chandra, Shailesh Kumar, C. V. Jawahar

    Asian Conference on Computer Vision (2012), pp. 382-395

  • Linear classifiers are nearly optimal when hidden variables have diverse effects

    Nader H. Bshouty, Philip M. Long

    Machine Learning, vol. 86 (2012), pp. 209-231

  •  

    Machine learning: a probabilistic perspective

    Kevin P Murphy

    MIT Press, Cambridge, MA (2012)

  •  

    MedLDA: Maximum Margin Supervised Topic Models

    Jun Zhu, Amr Ahmed, Eric P. Xing

    Journal of Machine Learning Research (2012) (to appear)

  • Minimizing Uncertainty in Pipelines

    Nilesh N. Dalvi, Aditya Parameswaran, Vibhor Rastogi

    NIPS (2012) (to appear)

  •  

    Model Recommendation for Action Recognition

    Pyry Matikainen, Rahul Sukthankar, Martial Hebert

    IEEE International Conference on Computer Vision and Pattern Recognition (CVPR'12) (2012)

  • New Analysis and Algorithm for Learning with Drifting Distributions

    Mehryar Mohri, Andres Munoz Medina

    ALT (2012), pp. 124-138

  •  

    No-Regret Algorithms for Unconstrained Online Convex Optimization

    Matthew Streeter, H. Brendan McMahan

    Advances in Neural Information Processing Systems (NIPS) (2012)

  •  

    On Using Nearly-Independent Feature Families for High Precision and Confidence

    Omid Madani, Manfred Georg, David Ross

    Fourth Asian Machine Learning Conference, JMLR workshop and conference proceedings (2012), pp. 269-284

  •  

    On the Difficulty of Nearest Neighbor Search

    Junfeng He, Sanjiv Kumar, Shih-Fu Chang

    International Conference on Machine Learning (ICML) (2012)

  • Online-to-Confidence-Set Conversions and Application to Sparse Stochastic Bandits

    Yasin Abbasi-Yadkori, Dávid Pál, Csaba Szepesvári

    AISTATS 2012

  •  

    Open Problem: Better Bounds for Online Logistic Regression

    H. Brendan McMahan, Matthew Streeter

    COLT/ICML Joint Open Problem Session, JMLR: Workshop and Conference Proceedings (2012)

  •  

    Recurrent Neural Networks for Noise Reduction in Robust ASR

    Andrew Maas, Quoc V. Le, Tyler M. O’Neil, Oriol Vinyals, Patrick Nguyen, Andrew Y. Ng

    INTERSPEECH (2012)

  • Reverse Iterative Deepening for Finite-Horizon MDPs with Large Branching Factors

    Andrey Kolobov, Peng Dai, Mausam, Daniel S Weld

    International Conference on Automated Planning and Scheduling (2012)

  •  

    Robust Local Search for Solving RCPSP/max with Durational Uncertainty

    Na Fu, Hoong Chuin Lau, Pradeep Varakantha, Fei Xiao

    Journal of Artificial Intelligence Research, vol. 43 (2012), pp. 43-86

  • Sampling Methods for the Nystrom Method

    Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar

    Journal of Machine Learning Research (JMLR) (2012)

  • Scalable Active Learning for Multi-Class Image Classification

    Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolopoulos

    IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)

  •  

    Spectral Intersections for Non-Stationary Signal Separation

    Trausti Kristjansson, Thad Hughes

    Proceedings of InterSpeech 2012, Portland, OR

  • Spectral Learning of General Weighted Automata via Constrained Matrix Completion

    Borja Balle, Mehryar Mohri

    NIPS (2012), pp. 2168-2176

  •  

    Student-t based Robust Spatio-Temporal Prediction

    Yang Chen, Feng Chen, Jing Dai, T. Charles Clancy, Yao-Jan Wu

    IEEE 12th International Conference on Data Mining, IEEE, Brussels, Belgium (2012), pp. 151-160

  • The Foundations of Machine Learning

    Mehryar Mohri, Afshin Rostamizadeh, Ameet Talwalkar

    MIT Press (2012)

  • The multi-iterative closest point tracker: An online algorithm for tracking multiple interacting targets

    Adam Feldman, Maria Hybinette, Tucker Balch

    Journal of Field Robotics, vol. 29.2 (2012), pp. 258-276

  • The word-gesture keyboard: reimagining keyboard interaction (CACM Research Highlight)

    Shumin Zhai, Per Ola Kristensson

    Communications of the ACM, vol. 55, no. 9 (2012), pp. 91-101

  •  

    Three Controversial Hypotheses Concerning Computation in the Primate Cortex

    Thomas Dean, Greg Corrado, Jonathon Shlens

    Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, AAAI Press (2012)

  •  

    Unsupervised Learning for Graph Matching

    Marius Leordeanu, Rahul Sukthankar, Martial Hebert

    International Journal of Computer Vision, vol. 96 (2012), pp. 28-45

  •  

    Weakly Supervised Learning of Object Segmentations from Web-Scale Video

    Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan Essa, James Rehg, Rahul Sukthankar

    ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I, Springer-Verlag, Berlin, Heidelberg (2012), pp. 198-208

  •  

    Web-Scale Multi-Task Feature Selection for Behavioral Targeting

    Amr Ahmed, Mohamed Aly, Abhimanyu Das, Alex Smola, Tasos Anastasakos

    Proceedings of The 21st ACM International Conference on Information and Knowledge Management (CIKM), ACM (2012) (to appear)

  • A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels

    Cyril Allauzen, Corinna Cortes, Mehryar Mohri

    International Journal of Foundations of Computer Science, vol. 22 (2011), pp. 1761-1779

  • Algorithms and hardness results for parallel large margin learning

    Philip M. Long, Rocco A. Servedio

    NIPS (2011)

  • Artificial General Intelligence. Proceedings of the 4th International Conference

    Jürgen Schmidhuber, Kristinn Thorisson, Moshe Looks

    Springer Lecture Notes in Artificial Intelligence (2011)

  • Can matrix coherence be efficiently and accurately estimated?

    Mehryar Mohri, Ameet Talwalkar

    Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2011)

  • Combinatorial and Algorithmic Aspects of Sequence Processing (Dagstuhl Seminar 11081)

    Maxime Crochemore, Lila Kari, Mehryar Mohri, Dirk Nowotka

    Dagstuhl Reports, vol. 1 (2011), pp. 47-66

  •  

    Controlling Complexity in Part-of-Speech Induction

    Joao Graca, Kuzman Ganchev, Luisa Coheur, Fernando Pereira, Ben Taskar

    Journal of Artificial Intelligence Research (JAIR), vol. 41 (2011), pp. 527-551

  •  

    Domain Adaptation with Coupled Subspaces

    John Blitzer, Sham Kakade, Dean Foster

    Artificial Intelligence and Statistics (2011)

  • Domain adaptation in regression

    Corinna Cortes, Mehryar Mohri

    Proceedings of The 22nd International Conference on Algorithmic Learning Theory, ALT 2011, Springer, Heidelberg, Germany

  • Ensemble Nystrom

    Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar

    A book chapter in Ensemble Machine Learning: Theory and Applications, Springer (2011)

  • Ensembles of Kernel Predictors

    Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

    Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence (UAI 2011)

  •  

    Feature Seeding for Action Recognition

    Pyry Matikainen, Rahul Sukthankar, Martial Hebert

    International Conference on Computer Vision (ICCV) (2011)

  •  

    Follow-the-Regularized-Leader and Mirror Descent: Equivalence Theorems and L1 Regularization

    H. Brendan McMahan

    Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS) (2011)

  • Hashing with Graphs

    Wei Liu, Jun Wang, Sanjiv Kumar, Shih-Fu Chang

    International Conference on Machine Learning (ICML) (2011)

  •  

    History Dependent Domain Adaptation

    Allen Lavoie, Matthew Eric Otey, Nathan Ratliff

    Domain Adaptation Workshop at NIPS '11 (2011)

  •  

    Improved Time Series Prediction and Symbolic Regression with Affine Arithmetic

    Cassio Pennachin, Moshe Looks, J. A. de Vasconcelos

    Genetic Programming Theory and Practice IX, Springer, 233 Spring Street, New York, NY 10013 (2011), pp. 97-112

  •  

    L1 and L2 Regularization for Multiclass Hinge Loss Models

    Robert C. Moore, John DeNero

    Symposium on Machine Learning in Speech and Natural Language Processing (2011)

  • Large-Scale Image Annotation using Visual Synset

    David Tsai, Yushi Jing, Henry Rowley, Yi Liu, Sergey Ioffe, James Rehg

    Proc. International Conference on Computer Vision (ICCV) (2011)

  •  

    Large-Scale Music Annotation and Retrieval: Learning to Rank in Joint Semantic Spaces.

    Jason Weston, Samy Bengio, Philippe Hamel

    Journal of New Music Research (2011)

  • Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction

    Valentin I. Spitkovsky, Hiyan Alshawi, Daniel Jurafsky

    2011 Conference on Empirical Methods in Natural Language Processing (EMNLP 2011)

  • Learning Highlights in Sports Videos Using a Semi-Supervised Approach: Cricket as a Test Case

    Hao Tang, Vivek Kwatra, Mehmet Emre Sargin, Ullas Gargi

    ICME 2011

  • Learning Structured Embeddings of Knowledge Bases

    Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio

    Proceedings of the 25th Conference on Artificial Intelligence (AAAI) (2011)

  •  

    Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis

    Quoc V. Le, Will Zou, Serena Yeung, Andrew Y. Ng

    Conference on Computer Vision and Pattern Recognition (2011)

  • Learning large-margin halfspaces with more malicious noise

    Philip M. Long, Rocco A. Servedio

    NIPS (2011)

  •  

    Managing Crowdsourced Human Computation

    Panagiotis G. Ipeirotis, Praveen K. Paritosh

    20th International World Wide Web Conference, WWW 2011

  •  

    Models for Neural Spike Computation and Cognition

    David H. Staelin, Carl H. Staelin

    CreateSpace, Seattle, WA (2011), pp. 142

  • On the necessity of irrelevant variables

    David P. Helmbold, Philip M. Long

    ICML (2011)

  •  

    Online Learning in the Manifold of Low-Rank Matrices

    Gal Chechik, Daphna Weinshall, Uri Shalit

    Neural Information Processing Systems (NIPS 23), Curran Associates, Inc. (2011), pp. 2128-2136

  •  

    Posterior Sparsity in Dependency Grammar Induction

    Jennifer Gillenwater, Kuzman Ganchev, Joao Graca, Fernando Pereira, Ben Taskar

    Journal of Machine Learning Research, vol. 12 (2011), pp. 455-490

  • Temporal pooling and multiscale learning for automatic annotation and ranking of music audio

    Philippe Hamel, Simon Lemieux, Yoshua Bengio, Douglas Eck

    International Society for Music Information Retrieval (ISMIR 2011)

  • Topological Value Iteration Algorithms

    Peng Dai, Mausam, Daniel S. Weld

    Journal of Artificial Intelligence Research, vol. 42 (2011), pp. 181-209

  •  

    Wsabie: Scaling Up To Large Vocabulary Image Annotation

    Jason Weston, Samy Bengio, Nicolas Usunier

    Proceedings of the International Joint Conference on Artificial Intelligence, IJCAI (2011)

  •  

    A theory of learning from different domains

    Shai Ben-David, John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Vaughan

    Machine Learning, vol. 79 (2010), pp. 151-175

  • Active Tuples-based Scheme for Bounding Posterior Beliefs

    Bozhena Bidyuk, Rina Dechte, Emma Rollon

    JAIR, vol. 39 (2010), pp. 335-371

  •  

    Adaptive Bound Optimization for Online Convex Optimization

    H. Brendan McMahan, Matthew Streeter

    Proceedings of the 23rd Annual Conference on Learning Theory (COLT) (2010)

  • Algorithms for Learning Kernels Based on Centered Alignment

    Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

    Journal of Machine Learning Research, vol. 13 (2010), pp. 795-828

  • Bayesian Robot System Identification with Input and Output Noise

    Jo-Anne Ting, Aaron D'Souza, Stefan Schaal

    Neural Networks (2010) (to appear)

  •  

    Beyond Heuristics: Learning to Classify Vulnerabilities and Predict Exploits

    Mehran Bozorgi, Lawrence Saul, Stefan Savage, Geoffrey M. Voelker

    Proceedings of the Sixteenth ACM Conference on Knowledge Discovery and Data Mining (KDD-2010), pp. 105-113

  •  

    Compression Progress, Pseudorandomness, & Hyperbolic Discounting

    Moshe Looks

    The Third Conference on Artificial General Intelligence, Atlantis Press, http://www.atlantis-press.com (2010), pp. 186-187

  • Distributed Training Strategies for the Structured Perceptron

    Ryan McDonald, Keith Hall, Gideon Mann

    North American Chapter of the Association for Computational Linguistics (NAACL) (2010)

  • Efficient Learning and Feature Selection in High-Dimensional Regression

    Jo-Anne Ting, Aaron D'Souza, Stefan Schaal

    Neural Computation, vol. 22(4) (2010), pp. 831-886

  • Exploiting Feature Covariance in High-Dimensional Online Learning

    Justin Ma, Alex Kulesza, Mark Dredze, Koby Crammer, Lawrence Saul, Fernando Pereira

    Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, JMLR (2010), pp. 493-500

  •  

    Finding Meaning on: Tag Recommendation and Category Discovery

    George Toderici, Hrishikesh Aradhye, Marius Pasca, Luciano Sbaiz, Jay Yagnik

    Computer Vision and Pattern Recognition, IEEE (2010)

  • Finding planted partitions in nearly linear time using arrested spectral clustering

    Nader H. Bshouty, Philip M. Long

    ICML (2010)

  •  

    Generalization Bounds for Learning Kernels

    Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

    Proceedings of the 27th Annual International Conference on Machine Learning (ICML 2010)

  • Generalized Expectation Criteria for Semi-supervised Learning with Weakly Labeled Data

    Gideon Mann, Andrew McCallum

    JMLR, vol. 11 (2010)

  • Graphical Models of the Visual Cortex

    Thomas Dean

    Heuristics, Probability and Causality, College Publications, King's College London, Strand, London WC2R 2LS, UK (2010), pp. 121-142

  •  

    Half Transductive Ranking

    Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Corinna Cortes, Mehryar Mohri

    Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010)

  • Hilbert Space Embeddings of Hidden Markov Models

    Le Song, Byron Boots, Sajid Siddiqi, Geoffrey J. Gordon, Alex Smola

    Proceedings of the International Conference on Machine Learning (ICML) (2010)

  • Label Embedding Trees for Large Multi-Class Tasks

    Samy Bengio, Jason Weston, David Grangier

    Neural Information Processing Systems (NIPS) (2010)

  • Label Ranking under Ambiguous Supervision: An Application for Learning Semantic Correspondences

    Nicolas Usunier, Antoine Bordes, Jason Weston

    ICML, ICML (2010)

  •  

    Large Scale Image Annotation: Learning to Rank with Joint Word-Image Embeddings

    Jason Weston, Samy Bengio, Nicolas Usunier

    European Conference on Machine Learning (2010)

  •  

    Large Scale Online Learning of Image Similarity Through Ranking

    Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio

    Journal of Machine Learning Research, JMLR (2010), pp. 1109-1135

  • Large scale image annotation: learning to rank with joint word-image embeddings

    Jason Weston, Samy Bengio, Nicolas Usunier

    Machine Learning, vol. 81, Issue 1 (2010), pp. 21

  • Large-Scale Training of SVMs with Automata Kernels

    Cyril Allauzen, Corinna Cortes, Mehryar Mohri

    CIAA (2010), pp. 17-27

  • Learning Bounds for Importance Weighting

    Corinna Cortes, Yishay Mansour, Mehryar Mohri

    Advances in Neural Information Processing Systems (NIPS 2010), MIT Press, Vancouver, Canada

  •  

    Learning with Global Cost in Stochastic Environments

    Eyal Even-Dar, Shie Mannor, Yishay Mansour

    Proceedings of the 23rd Annual Conference on Learning Theory (COLT) (2010)

  •  

    Mahout in Action

    Robin Anil, Sean Owen, Ted Dunning, Ellen Friedman

    Manning, Manning Publications Co. Sound View Ct. #3B Greenwich, CT 06830 (2010), pp. 350

  •  

    MapReduce/Bigtable for Distributed Optimization

    Keith B. Hall, Scott Gilpin, Gideon Mann

    Neural Information Processing Systems Workshop on Leaning on Cores, Clusters, and Clouds (2010)

  • Natural Language Processing (almost) from Scratch

    Ronan Collobert, Jason Weston, Leon Bottou, Michael Karlen, Koray Kavukcuoglu, Pavel Kuksa

    Journal of Machine Learning Research (2010)

  • On the Estimation of Coherence

    Mehryar Mohri, Ameet Talwalkar

    CoRR, vol. abs/1009.0861 (2010)

  •  

    On the Impact of Kernel Approximation on Learning Accuracy

    Corinna Cortes, Mehryar Mohri, Ameet Talwalkar

    Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010)

  • Parallel Spectral Clustering in Distributed Systems

    Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen Lin, Edward Y. Chang

    IEEE Transactions on Pattern Analysis and Machine Intelligence (2010)

  •  

    Prediction of Advertiser Churn for Google AdWords

    Sangho Yoon, Jim Koehler, Adam Ghobarah

    JSM Proceedings, American Statistical Association (2010) (to appear)

  •  

    Preference-Based Learning to Rank

    Nir Ailon, Mehryar Mohri

    Machine Learning Journal, vol. 8 (2010), pp. 189-211

  • Random classification noise defeats all convex potential boosters

    Philip M. Long, Rocco A. Servedio

    Machine Learning, vol. 78 (2010), pp. 287-304

  •  

    Regret Minimization with Concept Drift

    Koby Crammer, Eyal Even-Dar, Yishay Mansour, Jennifer Wortman Vaughan

    Proceedings of the 23rd Annual Conference on Learning Theory (COLT) (2010)

  • Restricted Boltzmann Machines are hard to approximately evaluate or simulate

    Philip M. Long, Rocco A. Servedio

    ICML (2010)

  •  

    Robust Symbolic Regression with Affine Arithmetic

    Cassio Pennachin, Moshe Looks, João A. de Vasconcelos

    Genetic and Evolutionary Computation COnference (GECCO) (2010)

  • SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding

    Ruei-Sung Lin, David A. Ross, Jay Yagnik

    IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2010)

  • SVM Optimization for Lattice Kernels

    Cyril Allauzen, Corinna Cortes, Mehryar Mohri

    Mining and Learning with Graphs (2010)

  • Semi-Supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction.

    Pavel Kuksa, Yanjun Qi, Bing Bai, Ronan Collobert, Jason Weston

    ECML (2010)

  • Sequential Projection Learning for Hashing with Compact Codes

    Jun Wang, Sanjiv Kumar, Shih-Fu Chang

    International Conference on Machine Learning (ICML) (2010)

  •  

    Showing Relevant Ads via Lipschitz Context Multi-Armed Bandits

    Tyler Lu, Dávid Pál, Martin Pál

    Thirteenth International Conference on Artificial Intelligence and Statistics, Journal of Machine Learning Research (2010)

  •  

    Sparse Spatiotemporal Coding for Activity Recognition

    Thomas Dean, Greg Corrado, Rich Washington

    Brown University (2010)

  •  

    Stability Bounds for Stationary $\phi$-mixing and $\beta$-mixing Processes

    Mehryar Mohri, Afshin Rostamizadeh

    Journal of Machine Learning Research (JMLR), vol. 11 (2010), pp. 798-814

  •  

    Star Quality: Aggregating Reviews to Rank Products and Merchants

    Mary McGlohon, Natalie Glance, Zach Reiter

    Proceedings of Fourth International Conference on Weblogs and Social Media (ICWSM), AAAI (2010)

  • The Learning Behind Gmail Priority Inbox

    Douglas Aberdeen, Ondrey Pacovsky, Andrew Slater

    LCCC : NIPS 2010 Workshop on Learning on Cores, Clusters and Clouds

  • The video recommendation system

    James Davidson, Benjamin Liebald, Junning Liu, Palash Nandy, Taylor Van Vleet, Ullas Gargi, Sujoy Gupta, Yu He, Mike Lambert, Blake Livingston, Dasarathi Sampath

    Fourth ACM conference on Recommender systems (2010)

  • Theoretical Convergence Guarantees for Cooperative Coevolutionary Algorithms

    Liviu Panait

    Evolutionary Computation Journal (2010)

  • Towards Understanding Situated Natural Language

    Antoine Bordes, Nicolas Usunier, Jason Weston

    Artificial Intelligence and Statistics (AISTATS) (2010)

  • Training and Testing Low-degree Polynomial Data Mappings via Linear SVM

    Yin-Wen Chang, Cho-Jui Hsieh, Kai-Wei Chang, Michael Ringgaard, Chih-Jen Lin

    Journal of Machine Learning Research, vol. 11(Apr) (2010), 1471−1490

  •  

    Two-Stage Learning Kernel Algorithms

    Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

    Proceedings of the 27th Annual International Conference on Machine Learning (ICML 2010)

  •  

    Why does Unsupervised Pre-training Help Deep Learning?

    Dumitru Erhan, Yoshua Bengio, Aaron Courville, Pierre-Antoine Manzagol, Pascal Vincent, Samy Bengio

    Journal of Machine Learning Research (2010), pp. 625-660

  •  

    An Online Algorithm for Large Scale Image Similarity Learning

    Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio

    Advances in Neural Information Processing Systems (2009)

  • Artificial Intelligence: A Modern Approach

    Stuart Russell, Peter Norvig

    Prentice Hall Press, Upper Saddle River, NJ, USA (2009)

  •  

    Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

    Joseph Keshet, Samy Bengio

    Wiley (2009)

  • Baum's algorithm learns intersections of halfspaces with respect to log-concave distributions

    Adam R. Klivans, Philip M. Long, Alex K. Tang

    RANDOM (2009)

  • Boosting with structural sparsity

    John Duchi, Yoram Singer

    ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, ACM, New York, NY, USA (2009), pp. 297-304

  •  

    Cooperative Coevolution and Univariate Estimation of Distribution Algorithms

    Christopher Vo, Liviu Panait, Sean Luke

    Foundations of Genetic Algorithms (2009)

  • Des algorithmes d'apprentissage pour mieux classifier

    Corinna Cortes, Patrick Haffner, Mehryar Mohri

    Pour la Science, vol. 386 (2009)

  •  

    Discriminative Keyword Spotting

    David Grangier, Joseph Keshet, Samy Bengio

    Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, Wiley (2009)

  •  

    Discriminative Keyword Spotting

    Joseph Keshet, David Grangier, Samy Bengio

    Speech Communication (2009), pp. 317-329

  • Domain Adaptation with Multiple Sources

    Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

    Advances in Neural Information Processing Systems (NIPS 2008), MIT Press, Vancouver, Canada (2009)

  • Domain Adaptation: Learning Bounds and Algorithms

    Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

    Proceedings of The 22nd Annual Conference on Learning Theory (COLT 2009), Omnipress, Montr\'eal, Canada

  • Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models

    Gideon Mann, Ryan McDonald, Mehryar Mohri, Nathan Silberman, Daniel Walker IV

    Neural Information Processing Systems (NIPS) (2009)

  • Emotional Memory and Adaptive Personalities

    Anthony Francis, Manish Mehta, Ashwin Ram

    Handbook of Synthetic Emotions and Sociable Robotics, Information Science Reference, an imprint of IGI Global, www.info-sci-ref.com (2009), pp. 391-412

  • Ensemble Nystrom Method

    Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar

    Neural Information Processing Systems (NIPS) (2009)

  • Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification

    Amarnag Subramanya, Jeff Bilmes

    NIPS 2009

  •  

    Finding Images and Line Drawings in Document-Scanning Systems

    Shumeet Baluja, Michele Covell

    Proc. International Conference on Document Analysis and Retrieval, IAPR (2009)

  • Gaussian Margin Machines

    Koby Crammer, Mehryar Mohri, Fernando Pereira

    Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS 2009), Clearwater Beach, Florida, pp. 105-112

  • Group Sparse Coding

    Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow

    Advances in Neural Information Processing Systems (2009)

  • Introduction

    Samy Bengio, Joseph Keshet

    Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, Wiley (2009)

  • Invited talk: Can learning kernels help performance?

    Corinna Cortes

    ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, ACM, New York, NY, USA (2009), pp. 1-1

  •  

    Kernel Based Text-Independnent Speaker Verification

    Johnny Mariethoz, Yves Grandvalet, Samy Bengio

    Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods, Wiley (2009)

  • L2 Regularization for Learning Kernels

    Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

    Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), Montr\'eal, Canada

  •  

    Large Scale Graph Transduction

    Amarnag Subramanya, Jeff Bilmes

    NIPS 2009 Workshop on Large-Scale Machine Learning: Parallelism and Massive Datasets, NIPS

  • Large Scale Learning to Rank

    D. Sculley

    NIPS 2009 Workshop on Advances in Ranking

  •  

    Large Scale Online Learning of Image Similarity Through Ranking: Extended Abstract

    Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio

    4th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA (2009)

  • Learning Halfspaces with Malicious Noise

    Adam R. Klivans, Philip M. Long, Rocco A. Servedio

    JMLR, vol. 10 (2009), pp. 2715-2740

  • Learning non-linear combinations of kernels

    Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

    NIPS 2009, Advances in Neural Information Processing Systems, MIT Press

  • Multiple Source Adaptation and the Renyi Divergence

    Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

    UAI (2009), pp. 367-374

  • Multiple Source Adaptation and the Renyi Divergence

    Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

    Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009), Montr\'eal, Canada

  • On Sampling-Based Approximate Spectral Decomposition

    Sanjiv Kumar, Mehryar Mohri, Ameet Talkwalkar

    International Conference on Machine Learning (ICML) (2009)

  • Parallel Large Scale Feature Selection for Logistic Regression

    Sameer Singh, Jeremy Kubica, Scott Larsen, Daria Sorokina

    SIAM International Conference on Data Mining (SDM) (2009)

  • Polynomial semantic indexing

    Bing Bai, Jason Weston, David Grangier, Ronan Collobert, Kunihiko Sadamasa, Yanjun Qi, Corinna Cortes, Mehryar Mohri

    Advances in Neural Information Processing Systems (NIPS 2009), MIT Press

  •  

    Posterior vs. Parameter Sparsity in Latent Variable Models

    Joao Graca, Kuzman Ganchev, Ben Taskar, Fernando Pereira

    Advances in Neural Information Processing Systems 22 (2009), pp. 664-672

  •  

    Probabilistic Models for Melodic Prediction

    Jean-Francois Paiement, Samy Bengio, Douglas Eck

    Artificial Intelligence Journal, vol. 173 (2009), pp. 1266-1274

  •  

    Program Representation for General Intelligence

    Moshe Looks, Ben Goertzel

    The Second Conference on Artificial General Intelligence (2009)

  • Quantum Annealing for Clustering

    Kenichi Kurihara, Shu Tanaka, Seiji Miyashita

    Proceedings of the 25th Annual Conference on Uncertainty in Artificial Intelligence, AUAI Press (2009) (to appear)

  • Quantum Annealing for Variational Bayes Inference

    Issei Sato, Kenichi Kurihara, Shu Tanaka, Seiji Miyashita, Hiroshi Nakagawa

    Proceedings of the 25th Annual Conference on Uncertainty in Artificial Intelligence, AUAI Press (2009) (to appear)

  • Rademacher Complexity Bounds for Non-I.I.D. Processes

    Mehryar Mohri, Afshin Rostamizadeh

    Advances in Neural Information Processing Systems (NIPS 2008), MIT Press, Vancouver, Canada (2009)

  •  

    Recursive Sparse Spatiotemporal Coding

    Thomas Dean, Greg Corrado, Richard Washington

    Proceedings of the Fifth IEEE International Workshop on Multimedia Information Processing and Retrieval, IEEE Computer Society (2009)

  • Sampling Techniques for the Nystrom Method

    Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar

    Artificial Intelligence and Statistics (AISTATS) (2009)

  •  

    Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria

    Gregory Druck, Gideon S. Mann, Andrew McCallum

    IJCNLP-ACL (2009)

  • Simple Risk Bounds for Position-Sensitive Max-Margin Ranking Algorithms

    Stefan Riezler, Fabio De Bona

    Proceedings of NIPS'09 Workshop on "Advances in Ranking" (2009)

  • Sleeping Experts and Bandits with Stochastic Action Availability and Adversarial Rewards

    Varun Kanade, H. Brendan McMahan, Brent Bryan

    Proceedings of the 12th International Conference on Artificial Intelligence and Statistic (AISTATS) (2009)

  • Suggesting email view filters for triage and search

    Mark Dredze, Bill N. Schilit, Peter Norvig

    IJCAI'09: Proceedings of the 21st International Joint Conference on Artifical intelligence, Morgan Kaufmann Publishers Inc., San Francisco, CA, USA (2009), pp. 1414-1419

  •  

    Symmetric Splitting in the General Theory of Stable Models

    Paolo Ferraris, Joohyung Lee, Vladimir Lifschitz, Ravi Palla

    In proc. Twenty-first International Joint Conference on Artificial Intelligence (IJCAI '09) (2009), pp. 797-803

  •  

    The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training

    Dumitru Erhan, Pierre-Antoine Manzagol, Yoshua Bengio, Samy Bengio, Pascal Vincent

    Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS), JMLR Workshop and Conference Procedings (2009), pp. 153-160

  • Tighter Bounds for Multi-Armed Bandits with Expert Advice

    H. Brendan McMahan, Matthew Streeter

    Proceedings of the 22nd Annual Conference on Learning Theory (COLT) (2009)

  • Using the Doubling Dimension to Analyze the Generalization of Learning Algorithms

    Nader H. Bshouty, Yi Li, Philip M. Long

    JCSS (2009)

  • Scale, Large Vocabulary Video Annotation

    Nick Morsillo, Chris Pal, Gideon Mann

    Video Search and Mining (2009)

  • A Bayesian Approach to Empirical Local Linearization for Robotics

    Jo-Anne Ting, Aaron D'Souza, Sethu Vijayakumar, Stefan Schaal

    International Conference on Robotics and Automation (ICRA2008)

  •  

    A Discriminative Kernel-based Approach to Retrieval Images from Text Queries

    David Grangier, Samy Bengio

    IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30 (2008), pp. 1371-1384

  •  

    A Distance Model for Rhythms

    Jean-Francois Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck

    International Conference on Machine Learning (ICML) (2008)

  •  

    A Generative Model for Rhythms

    Jean-Francois Paiement, Samy Bengio, Yves Grandvalet, Doug Eck

    Neural Information Processing Systems, Workshop on Brain, Music and Cognition (2008)

  • A Machine Learning Framework for Spoken-Dialog Classification

    Corinna Cortes, Patrick Haffner, Mehryar Mohri

    Handbook on Speech Processing and Speech Communication, Part E: Speech recognition, Springer-Verlag, Heidelberg, Germany (2008)

  • Actively Learning Level-Sets of Composite Functions

    Brent Bryan, Jeff Schneider

    ICML 2008: International Conference on Machine Learning

  • Adaptive Martingale Boosting

    Philip M. Long, Rocco A. Servedio

    NIPS (2008)

  • An Efficient Reduction of Ranking to Classification

    Nir Ailon, Mehryar Mohri

    Proceedings of The 21st Annual Conference on Learning Theory (COLT 2008), Springer, Heidelberg, Germany, Helsinki, Finland

  • Boosted Bayesian Network Classifier

    Yushi Jing, Vladimir Pavlovic, James M. Rehg

    Machine Learning Journal (2008)

  •  

    Confidence-Weighted Linear Classification

    Mark Dredze, Koby Crammer, Fernando Pereira

    International Conference on Machine Learning (ICML) (2008)

  •  

    Delay Learning and Polychronization for Reservoir Computing

    Hélène Paugam-Moisy, Régis Martinez, Samy Bengio

    Neurocomputing, vol. 71 (2008), pp. 1143-1158

  • Efficient projections onto the l1-ball for learning in high dimensions

    John Duchi, Shai Shalev-Shwartz, Yoram Singer, Tushar Chandra

    ICML '08: Proceedings of the 25th international conference on Machine learning, ACM, New York, NY, USA (2008), pp. 272-279

  •  

    Forecasting Web Page Views: Methods and Observations

    Jia Li, Andrew Moore

    JMLR, vol. 9(Oct) (2008), pp. 2217-2250

  • Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields

    Gideon Mann, Andrew McCallum

    ACL (2008)

  • Intelligent Email: Reply and Attachment Prediction

    Mark Dredze, Tova Brooks, Josh Carroll, Joshua Magarick, John Blitzer, Fernando Pereira

    Proceedings of the 2008 International Conference on Intelligent User Interfaces

  • Kernel Methods for Learning Languages

    Leonid Kontorovich, Corinna Cortes, Mehryar Mohri

    Theoretical Computer Science, vol. 405 (2008), pp. 223-236

  •  

    Large Scale Content-Based Audio Retrieval from Text Queries

    Gal Chechik, Eugene Ie, Martin Rehn, Samy Bengio, Richard F. Lyon

    ACM International Conference on Multimedia Information Retrieval (MIR), ACM (2008)

  • Learning Bounds for Domain Adaptation

    John Blitzer, Koby Crammer, Alex Kulesza, Fernando Pereira, Jennifer Wortman

    Advances in Neural Information Processing Systems 20, {MIT} Press, Cambridge, MA (2008)

  • Learning Multiple Graphs for Document Recommendations

    Ding Zhou, Shenghuo Zhu, Kai Yu, Xiaodan Song, Belle L. Tseng, Hongyuan Zha, C. Lee Giles

    Proc. 17th International Conference on World Wide Web, ACM, Beijing (2008), pp. 141-150

  • Learning sequence kernels

    Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

    Proceedings of IEEE International Workshop on Machine Learning for Signal Processing (2008)

  • Learning to hash: forgiving hash functions and applications Learning to hash: forgiving hash functions and applications

    Shumeet Baluja, Michele Covell

    Data Mining and Knowledge Discovery (2008)

  • Learning using Large Datasets

    Léon Bottou, Olivier Bousquet

    Mining Massive DataSets for Security, IOS Press (2008)

  • Learning with weighted transducers

    Corinna Cortes, Mehryar Mohri

    Proceedings of the Seventh International Workshop Finite-State Methods and Natural Language Processing (2008)

  • Online Learning of Complex Prediction Problems Using Simultaneous Projections

    Yonatan Amit, Shai Shalev-Shwartz, Yoram Singer

    J. Mach. Learn. Res., vol. 9 (2008), pp. 1399-1435

  • Robust Submodular Observation Selection

    Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta

    Journal of Machine Learning Research (JMLR), vol. 9 (2008), pp. 2761-2801

  • Sample Selection Bias Correction Theory

    Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh

    Proceedings of The 19th International Conference on Algorithmic Learning Theory (ALT 2008), Springer, Heidelberg, Germany, Budapest, Hungary

  •  

    Sequence Kernels for Predicting Protein Essentiality

    Cyril Allauzen, Mehryar Mohri, Ameet Talwalkar

    Proceedings of ICML 2008

  • Stability Bounds for Non-i.i.d. Processes

    Mehryar Mohri, Afshin Rostamizadeh

    Advances in Neural Information Processing Systems (NIPS 2007), MIT Press, Vancouver, Canada (2008)

  • Stability of Transductive Regression Algorithms

    Corinna Cortes, Mehryar Mohri, Dmitry Pechyony, Ashish Rastogi

    Proceedings of the Twenty-fifth International Conference on Machine Learning (ICML 2008), Helsinki, Finland

  • Statistical performance of support vector machines

    Gilles Blanchard, Olivier Bousquet, Pascal Massart

    Annals of Statistics, vol. 36 (2008), pp. 489-531

  • Structured Learning with Approximate Inference

    Alex Kulesza, Fernando Pereira

    Advances in Neural Information Processing Systems 20, {MIT} Press, Cambridge, MA (2008)

  • The Tradeoffs of Large Scale Learning

    Léon Bottou, Olivier Bousquet

    Advances in Neural Information Processing Systems, NIPS Foundation (http://books.nips.cc) (2008), pp. 161-168

  •  

    Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective

    Liviu Panait, Karl Tuyls, Sean Luke

    Journal of Machine Learning Research (2008)

  • Web Page Language Identification Based on URLs

    Eda Baykan, Monika Henzinger, Ingmar Weber

    34th International Conference on Very Large Data Bases (VLDB), ACM Press, New York (2008), pp. 176-188

  • A General Regression Framework for Learning String-to-String Mappings

    Corinna Cortes, Mehryar Mohri, Jason Weston

    Predicting Structured Data, The MIT Press (2007)

  • A Generative Model for Distance Patterns in Music

    Jean-Francois Paiement, Yves Grandvalet, Samy Bengio, Douglas Eck

    NIPS Workshop on Music, Brain and Cognition (2007)

  • A Primal-Dual Perspective of Online Learning Algorithms

    Shai Shalev-Shwartz, Yoram Singer

    Machine Learning, vol. 69, no. 2-3 (2007), pp. 115-142

  • Automatic outlier detection: A Bayesian approach

    Jo-Anne Ting, Aaron D'Souza, Stefan Schaal

    International Conference on Robotics and Automation (ICRA 2007)

  •  

    Biometric Person Authentication IS A Multiple Classifier Problem

    Samy Bengio, Johnny Mariéthoz

    7th International Workshop on Multiple Classifier Systems (2007)

  •  

    Boosting the area under the ROC curve

    Philip M. Long, Rocco A. Servedio

    NIPS (2007)

  •  

    Discriminative learning can succeed where generative learning fails

    Philip M. Long, Rocco A. Servedio, Hans Ulrich Simon

    Information Processing Letters, vol. 103(4) (2007), pp. 131-135

  • Euclidean Embedding of Co-occurrence Data

    Amir Globerson, Gal Chechik, Fernando Pereira, Naftali Tishby

    Journal of Machine Learning Research, vol. 8 (2007), pp. 2265-2295

  • Improving Embeddings by Flexible Exploitation of Side Information

    Ali Ghodsi, Finnegan Southey, Dana Wilkinson

    Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07) (2007)

  • Inferring Complex Agent Motions from Partial Trajectory Observations

    Finnegan Southey, Wesley Loh, Dana Wilkinson

    Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07) (2007)

  • Kernel Methods for Learning Languages

    Leonid Kontorovich, Corinna Cortes, Mehryar Mohri

    Theoretical Computer Science, vol. to appear (2007)

  • Lp Distance and Equivalence of Probabilistic Automata

    Corinna Cortes, Mehryar Mohri, Ashish Rastogi

    International Journal of Foundations of Computer Science, vol. 18 (2007)

  • Learning Forgiving Hash Functions: Algorithms and Large Scale Tests

    Shumeet Baluja, Michele Covell

    IJCAI-07: International Joint Conference on Artificial Intelligence (2007)

  • Learning and Inferring Transportation Routines

    Lin Liao, Don Patterson, Dieter Fox, Henry Kautz

    Artificial Intelligence, vol. 171 (2007), pp. 311-331

  •  

    Learning the Inter-frame Distance for Discriminative Template-based Keyword Detection

    David Grangier, Samy Bengio

    Proceedings of the International Conference Interspeech-Eurospeech (2007)

  • Learning to verify branching time properties

    Abhay Vardhan, Mahesh Viswanathan

    Formal Methods in System Design, vol. 31, no. 1 (2007), pp. 35-61

  •  

    On the Prospects for Building a Working Model of the Visual Cortex

    Thomas Dean, Glenn Carroll, Richard Washington

    Proceedings of AAAI-07, MIT Press, Cambridge, Massachusetts (2007), pp. 1597-1600

  • One-pass boosting

    Zafer Barutcuoglu, Philip M. Long, Rocco A. Servedio

    NIPS (2007)

  • Online learning of multiple tasks with a shared loss

    Ofer Dekel, Philip M. Long, Yoram Singer

    JMLR, vol. 8 (2007), pp. 2233-2264

  • Recursive Attribute Factoring

    David Cohn, Deepak Verma, Karl Pfleger

    Advances in Neural Information Processing Systems 19 (2007)

  • Selecting Observations Against Adversarial Objectives

    Andreas Krause, H. Brendan McMahan, Carlos Guestrin, Anupam Gupta

    Advances in Neural Information Processing Systems (NIPS 2007)

  •  

    Studies in Lower Bounding Probability of Evidence using the Markov Inequality

    Vibhav Gogate, Bozhena Bidyuk, Rina Dechter

    UAI, Morgan Kaufmann (2007)

  • Supervised Learning of Semantic Classes for Image Annotation and Retrieval

    Gustavo Carneiro, Antoni B. Chan, Pedro J. Moreno, Nuno Vasconcelos

    IEEE Transactions on Pattern Analysis and Machine Intelligence (2007), pp. 394-410

  •  

    The Need for Open Source Software in Machine Learning

    Soren Sonnenburg, Mikio L. Braun, Cheng Soon Ong, Samy Bengio, Leon Bottou, Geoff Holmes, Yann LeCun, Klaus-Robert Mueller, Fernando Pereira, Carl-Edward Rasmussen, Gunnar Raetsch, Bernhard Schoelkopf, Alexander Smola, Pascal Vincent, Jason Weston, Robert C. Williamson

    Journal of Machine Learning Research, vol. 8 (2007), pp. 2443-2466

  •  

    The War Against Spam: A report from the front line

    Brad Taylor, Dan Fingal, Douglas Aberdeen

    NIPS 2007 Workshop on Machine Learning in Adversarial Environments for Computer Security

  • Theoretical Advantages of Lenient Learners in Multiagent Systems

    Liviu Panait, Karl Tuyls

    Proceedings of the Sixth International Conference on Autonomous Agents and Multi-agent Systems (AAMAS-07), ACM (2007)

  • Training Conditional Random Fields using Virtual Evidence Boosting

    Lin Liao, Tanzeem Choudhury, Dieter Fox, Henry Kautz

    Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) (2007)

  • A Machine Learning Framework for Spoken-Dialog Classification

    Corinna Cortes, Patrick Haffner, Mehryar Mohri

    Handbook on Speech Processing and Speech Communication, Part E: Speech recognition, Springer-Verlag, Heidelberg, Germany (2007)

  • An Alternative Ranking Problem for Search Engines

    Corinna Cortes, Mehryar Mohri, Ashish Rastogi

    Proceedings of the 6th Workshop on Experimental Algorithms (WEA 2007), Springer-Verlag, Heidelberg, Germany, Rome, Italy, pp. 1-21

  • Learning Languages with Rational Kernels

    Corinna Cortes, Leonid Kontorovich, Mehryar Mohri

    Proceedings of The 20th Annual Conference on Computational Learning Theory (COLT 2007), Springer, Heidelberg, Germany, San Diego, California

  • Magnitude-Preserving Ranking Algorithms

    Corinna Cortes, Mehryar Mohri, Ashish Rastogi

    Proceedings of the Twenty-fourth International Conference on Machine Learning (ICML 2007), Oregon State University, Corvallis, OR

  • On Transductive Regression

    Corinna Cortes, Mehryar Mohri

    Advances in Neural Information Processing Systems (NIPS 2006), MIT Press, Vancouver, Canada (2007)

  • Attribute-efficient learning of linear threshold functions under unconcentrated distributions

    Philip M. Long, Rocco A. Servedio

    NIPS (2006)

  • Bayesian Regression with Input Noise for High-Dimensional Data

    Jo-Anne Ting, Aaron D'Souza, Stefan Schaal

    In Proceedings of the 23rd International Conference on Machine Learning, ACM Press (2006)

  • Building Personal Maps from GPS Data

    Lin Liao, Don Patterson, Dieter Fox, Henry Kautz

    Annals of the New York Academy of Sciences, vol. 1093 (2006), pp. 249-265

  • Clustering graphs by weighted substructure mining

    Koji Tsuda, Taku Kudo

    Proceedings of the 23rd international conference on Machine learning, ACM (2006), pp. 953-960

  • Data Fusion and Multicue Data Matching by Diffusion Maps

    Stéphane Lafon, Yosi Keller, Ronald R. Coifman

    IEEE Trans. Pattern Anal. Mach. Intell., vol. 28 (2006), pp. 1784-1797

  • Dependency trees in sub-linear time and bounded memory

    Dan Pelleg, Andrew W. Moore

    VLDB J., vol. 15 (2006), pp. 250-262

  • Efficient Learning of Label Ranking by Soft Projections onto Polyhedra

    S. Shalev-Shwartz, Y. Singer

    Journal of Machine Learning Research (2006)

  • Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields

    Lin Liao, Dieter Fox, Henry Kautz

    International Journal of Robotics Research, vol. 26 (2006), pp. 119-134

  •  

    Learning Invariant Features Using Inertial Priors

    Thomas Dean

    Annals of Mathematics and Artificial Intelligence, vol. 47 (2006), pp. 223-250

  • Online Learning meets Optimization in the Dual

    S. Shalev-Shwartz, Y. Singer

    Proceedings of the Nineteenth Annual Conference on Computational Learning Theory (2006)

  • Online Multiclass Learning by Interclass Hypothesis Sharing

    Michael Fink, Shai Shalev-Shwartz, Yoram Singer, Shimon Ullman

    Proceedings of the 23rd International Conference on Machine Learning (2006)

  • Online Passive Aggressive Algorithms

    K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, Y. Singer

    Journal of Machine Learning Research, vol. 7 (2006)

  • PAC Learning Mixtures of Gaussians with No Separation Assumption

    Jon Feldman, Ryan O'Donnell, Rocco A. Servedio

    Proc. 19th Annual Conference on Learning Theory (COLT) (2006)

  • Predicting Electricity Distribution Feeder Failures Using Machine Learning Susceptibility Analysis

    Philip Gross, Albert Boulanger, Marta Arias, David L. Waltz, Philip M. Long, Charles Lawson, Roger Anderson, Matthew Koenig, Mark Mastrocinque, William Fairechio, John A. Johnson, Serena Lee, Frank Doherty, Arthur Kressner

    IAAI (2006)

  • Reasoning about Partially Observed Actions

    Megan Nance, Adam Vogel, Eyal Amir

    AAAI (2006)

  •  

    Scalable Inference in Hierarchical Generative Models

    Thomas Dean

    Proceedings of the Ninth International Symposium on Artificial Intelligence and Mathematics (2006)

  • Learning Linearly Separable Languages

    Leonid Kontorovich, Corinna Cortes, Mehryar Mohri

    Proceedings of The 17th International Conference on Algorithmic Learning Theory (ALT 2006), Springer, Heidelberg, Germany

  • A Computational Model of the Cerebral Cortex

    Thomas Dean

    Proceedings of AAAI-05, MIT Press, Cambridge, Massachusetts (2005), pp. 938-943

  • A General Regression Technique for Learning Transductions

    Corinna Cortes, Mehryar Mohri, Jason Weston

    Proceedings of the Twenty-Second International Conference on Machine Learning (ICML 2005), Bonn, Germany

  • A New Perspective on an Old Perceptron Algorithm

    S. Shalev-Shwartz, Y. Singer

    Proceedings of the Eighteenth Annual Conference on Computational Learning Theory (2005)

  • A New Perspective on an Old Perceptron Algorithm

    Shai Shalev-Shwartz, Yoram Singer

    COLT (2005), pp. 264-278

  • Data-Driven Online to Batch Conversions

    Ofer Dekel, Yoram Singer

    NIPS (2005)

  • Efficient discriminative learning of Bayesian network classifier

    Yushi Jing, Vladimir Pavlovic, James M. Rehg

    Proc. International Conference on Machine Learning (Best student paper) (2005)

  • Loss Bounds for Online Category Ranking

    K. Crammer, Y. Singer

    Proceedings of the Eighteenth Annual Conference on Computational Learning Theory (2005)

  • Margin-Based Ranking Meets Boosting in the Middle

    Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E. Schapire

    Proc. of the 18th Annual Conference on Computational Learning Theory (COLT 2005), Springer, Heidelberg, Germany, pp. 63-78

  • Online Multiclass Learning with k-Way Limited Feedback and an Application to Utterance Classification

    Hiyan Alshawi

    Machine Learning, vol. 60 (2005)

  • Online Ranking by Projecting

    K. Crammer, Y. Singer

    Neural Computation, vol. 17 (2005)

  • Phoneme Alignment Based on Discriminative Learning

    J. Keshet, S. Shalev-Shwartz, Y. Singer, D. Chazan

    Interspeech (2005)

  • Semi-Supervised Self-Training of Object Detection Models

    Chuck Rosenberg, Martial Hebert, Henry Schneiderman

    WACV/MOTION (2005), pp. 29-36

  • Special Review Issue

    Donald Perlis, Peter Norvig

    Artif. Intell., vol. 169 (2005), pp. 103-212

  • The Forgetron: A Kernel-Based Perceptron on a Fixed Budget

    Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

    NIPS (2005)

  • A Comparison of Classifiers for Detecting Emotion from Speech

    Izhak Shafran, Mehryar Mohri

    Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2005), Philadelphia, Pennsylvania

  • Confidence Intervals for the Area under the ROC Curve

    Corinna Cortes, Mehryar Mohri

    Advances in Neural Information Processing Systems (NIPS 2004), MIT Press, Vancouver, Canada (2005)

  • Margin-Based Ranking Meets Boosting in the Middle

    Cynthia Rudin, Corinna Cortes, Mehryar Mohri, Robert E. Schapire

    Proceedings of The 18th Annual Conference on Computational Learning Theory (COLT 2005), Springer, Heidelberg, Germany, Bertinoro, Italy, pp. 63-78

  • Moment Kernels for Regular Distributions

    Corinna Cortes, Mehryar Mohri

    Machine Learning, vol. 60 (2005), pp. 117-134

  • Multi-Armed Bandit Algorithms and Empirical Evaluation

    Joann\`es Vermorel, Mehryar Mohri

    Proceedings of the 16th European Conference on Machine Learning (ECML 2005), Springer, Heidelberg, Germany, Porto, Portugal

  • Distribution Kernels Based on Moments of Counts

    Corinna Cortes, Mehryar Mohri

    Proceedings of the Twenty-First International Conference on Machine Learning (ICML 2004), Banff, Alberta, Canada

  • Rational Kernels: Theory and Algorithms

    Corinna Cortes, Patrick Haffner, Mehryar Mohri

    Journal of Machine Learning Research (JMLR), vol. 5 (2004), pp. 1035-1062

  • A Retrospective on "Paradigms of AI Programming"

    Peter Norvig

    Vivek (A Quarterly in Artificial Intelligence), vol. 15 (2003)

  • Artificial Intelligence: A Modern Approach

    Stuart Russell, Peter Norvig

    Prentice Hall (2002)

  • Intelligent Help Systems for UNIX

    Stephen J. Hegner, Paul McKevitt, Peter Norvig, Robert Wilensky

    Springer (2001)


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