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)

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

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)

Sequence Kernels for Predicting Protein Essentiality

Cyril Allauzen, Mehryar Mohri, Ameet Talwalkar

Proceedings of ICML 2008

An Efficient Reduction of Ranking to Classification

Nir Ailon, Mehryar Mohri

Proceedings of The 21st Annual Conference on Learning Theory (COLT 2008)

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

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)

One-pass boosting

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

NIPS, 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, 2008

Kernel Methods for Learning Languages

Leonid Kontorovich, Corinna Cortes, Mehryar Mohri

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

Online Learning in the Manifold of Low-Rank Matrices

Gal Chechik, Daphna Weinshall, Uri Shalit

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

Robust Symbolic Regression with Affine Arithmetic

Cassio L. Pennachin, Moshe Looks, João A. de Vasconcelos

Genetic and Evolutionary Computation COnference (GECCO), 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

Online Ranking by Projecting

K. Crammer, Yoram Singer

Neural Computation, vol. 17 (2005)

Boosting the area under the ROC curve

Philip M. Long, Rocco A. Servedio

NIPS, 2007

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), pp. 63-78

Loss Bounds for Online Category Ranking

K. Crammer, Yoram Singer

Proceedings of the Eighteenth Annual Conference on Computational Learning Theory, 2005

SVM Optimization for Lattice Kernels

Cyril Allauzen, Corinna Cortes, Mehryar Mohri

Mining and Learning with Graphs, 2010

Online Passive Aggressive Algorithms

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

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

Bayesian Robot System Identification with Input and Output Noise

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

Neural Networks (2010) (to appear)

Large-Scale Training of SVMs with Automata Kernels

Cyril Allauzen, Corinna Cortes, Mehryar Mohri

CIAA, 2010, pp. 17-27

Learning to verify branching time properties

Abhay Vardhan, Mahesh Viswanathan

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

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

Parallel Large Scale Feature Selection for Logistic Regression

Sameer Singh, Jeremy Kubica, Scott Larsen, Daria Sorokina

SIAM International Conference on Data Mining (SDM), 2009

Learning Forgiving Hash Functions: Algorithms and Large Scale Tests

Shumeet Baluja, Michele Covell

IJCAI-07: International Joint Conference on Artificial Intelligence, 2007

Structured Learning with Approximate Inference

Alex Kulesza, Fernando Pereira

Advances in Neural Information Processing Systems 20, 2008

Phoneme Alignment Based on Discriminative Learning

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

Interspeech, 2005

A New Perspective on an Old Perceptron Algorithm

S. Shalev-Shwartz, Yoram Singer

Proceedings of the Eighteenth Annual Conference on Computational Learning Theory, 2005

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

Online Learning meets Optimization in the Dual

S. Shalev-Shwartz, Yoram Singer

Proceedings of the Nineteenth Annual Conference on Computational Learning Theory, 2006

Efficient Learning of Label Ranking by Soft Projections onto Polyhedra

S. Shalev-Shwartz, Yoram Singer

Journal of Machine Learning Research (2006)

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

Label Embedding Trees for Large Multi-Class Tasks

Samy Bengio, Jason Weston, David Grangier

Neural Information Processing Systems (NIPS), 2010

Confidence-Weighted Linear Classification

Mark Dredze, Koby Crammer, Fernando Pereira

International Conference on Machine Learning (ICML), 2008

Algorithms and hardness results for parallel large margin learning

Philip M. Long, Rocco A. Servedio

NIPS, 2011

Probabilistic Models for Melodic Prediction

Jean-Francois Paiement, Samy Bengio, Douglas Eck

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

Learning large-margin halfspaces with more malicious noise

Philip M. Long, Rocco A. Servedio

NIPS, 2011

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

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, 2006

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)

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

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

Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

NIPS, 2005

Data-Driven Online to Batch Conversions

Ofer Dekel, Yoram Singer

NIPS, 2005

Scalable Active Learning for Multi-Class Image Classification

Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolopoulos

IEEE Transactions on Pattern Analysis and Machine Intelligence (2012)

YouTube Scale, Large Vocabulary Video Annotation

Nick Morsillo, Chris Pal, Gideon Mann

Video Search and Mining, 2009

Biometric Person Authentication IS A Multiple Classifier Problem

Samy Bengio, Johnny Mariéthoz

7th International Workshop on Multiple Classifier Systems, 2007

A Distance Model for Rhythms

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

International Conference on Machine Learning (ICML), 2008

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

Hiyan Alshawi

Machine Learning, vol. 60 (2005)

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)

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

Gideon Mann, Andrew McCallum

JMLR, vol. 11 (2010)

Boosted Bayesian Network Classifier

Yushi Jing, Vladimir Pavlovic, James M. Rehg

Machine Learning Journal (2008)

Learning Halfspaces with Malicious Noise

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

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

Lp Distance and Equivalence of Probabilistic Automata

Corinna Cortes, Mehryar Mohri, Ashish Rastogi

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

Recursive Attribute Factoring

David Cohn, Deepak Verma, Karl Pfleger

Advances in Neural Information Processing Systems 19, 2007

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

Attribute-efficient learning of linear threshold functions under unconcentrated distributions

Philip M. Long, Rocco A. Servedio

NIPS, 2006

Invited talk: Can learning kernels help performance?

Corinna Cortes

ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, 2009, pp. 1-1

Using the Doubling Dimension to Analyze the Generalization of Learning Algorithms

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

JCSS (2009)

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

Mehryar Mohri, Afshin Rostamizadeh

Advances in Neural Information Processing Systems (NIPS 2007), 2008

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

David Grangier, Samy Bengio

Proceedings of the International Conference Interspeech-Eurospeech, 2007

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

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), 2007

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

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

ICML '08: Proceedings of the 25th international conference on Machine learning, 2008, pp. 272-279

Large Scale Visual Semantic Extraction

Samy Bengio

Frontiers of Engineering - Reports on Leading-Edge Engineering from the 2011 Symposium, 2012, pp. 61-68

Online learning of multiple tasks with a shared loss

Ofer Dekel, Philip M. Long, Yoram Singer

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

Boosting with structural sparsity

John Duchi, Yoram Singer

ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, 2009, pp. 297-304

Distribution Kernels Based on Moments of Counts

Corinna Cortes, Mehryar Mohri

Proceedings of the Twenty-First International Conference on Machine Learning (ICML 2004)

Confidence Intervals for the Area under the ROC Curve

Corinna Cortes, Mehryar Mohri

Advances in Neural Information Processing Systems (NIPS 2004), 2005

Semi-Supervised Self-Training of Object Detection Models

Chuck Rosenberg, Martial Hebert, Henry Schneiderman

WACV/MOTION, 2005, pp. 29-36

Moment Kernels for Regular Distributions

Corinna Cortes, Mehryar Mohri

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

A Primal-Dual Perspective of Online Learning Algorithms

Shai Shalev-Shwartz, Yoram Singer

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

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)

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

Towards Understanding Situated Natural Language

Antoine Bordes, Nicolas Usunier, Jason Weston

Artificial Intelligence and Statistics (AISTATS), 2010

Rational Kernels: Theory and Algorithms

Corinna Cortes, Patrick Haffner, Mehryar Mohri

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

Star Quality: Aggregating Reviews to Rank Products and Merchants

Mary McGlohon, Natalie S. Glance, Zach Reiter

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

Efficient Spectral Neighborhood Blocking for Entity Resolution

Liangcai Shu, Aiyou Chen, Ming Xiong, Weiyi Meng

International Conference on Data Engineering 2011 (ICDE), pp. 1-12 (to appear)

Learning Bounds for Importance Weighting

Corinna Cortes, Yishay Mansour, Mehryar Mohri

Advances in Neural Information Processing Systems (NIPS 2010)

Distributed Training Strategies for the Structured Perceptron

Ryan McDonald, Keith B. Hall, Gideon Mann

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

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

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

Nicolas Usunier, Antoine Bordes, Jason Weston

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

An Online Algorithm for Large Scale Image Similarity Learning

Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio

Advances in Neural Information Processing Systems, 2009

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)

Adaptive Martingale Boosting

Philip M. Long, Rocco A. Servedio

NIPS, 2008

Parallel Spectral Clustering in Distributed Systems

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

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010

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

Random classification noise defeats all convex potential boosters

Philip M. Long, Rocco A. Servedio

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

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 General Regression Framework for Learning String-to-String Mappings

Corinna Cortes, Mehryar Mohri, Jason Weston

Predicting Structured Data, 2007

On Transductive Regression

Corinna Cortes, Mehryar Mohri

Advances in Neural Information Processing Systems (NIPS 2006), 2007

Finding Images and Line Drawings in Document-Scanning Systems

Shumeet Baluja, Michele Covell

Proc. International Conference on Document Analysis and Retrieval, 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 Machine Learning Framework for Spoken-Dialog Classification

Corinna Cortes, Patrick Haffner, Mehryar Mohri

Handbook on Speech Processing and Speech Communication, Part E: Speech recognition, 2007

Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria

Gregory Druck, Gideon Mann, Andrew McCallum

IJCNLP-ACL, 2009

Group Sparse Coding

Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow

Advances in Neural Information Processing Systems, 2009

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

Kernel Methods for Learning Languages

Leonid Kontorovich, Corinna Cortes, Mehryar Mohri

Theoretical Computer Science, vol. to appear (2007)

Actively Learning Level-Sets of Composite Functions

Brent Bryan, Jeff Schneider

ICML 2008: International Conference on Machine Learning

Kernel Based Text-Independnent Speaker Verification

Johnny Mariethoz, Yves Grandvalet, Samy Bengio

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

An Alternative Ranking Problem for Search Engines

Corinna Cortes, Mehryar Mohri, Ashish Rastogi

Proceedings of the 6th Workshop on Experimental Algorithms (WEA 2007), pp. 1-21

Automatic outlier detection: A Bayesian approach

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

International Conference on Robotics and Automation (ICRA 2007)

The Learning Behind Gmail Priority Inbox

Douglas Aberdeen, Ondrey Pacovsky, Andrew Slater

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

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

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

Learning Linearly Separable Languages

Leonid Kontorovich, Corinna Cortes, Mehryar Mohri

Proceedings of The 17th International Conference on Algorithmic Learning Theory (ALT 2006)

Magnitude-Preserving Ranking Algorithms

Corinna Cortes, Mehryar Mohri, Ashish Rastogi

Proceedings of the Twenty-fourth International Conference on Machine Learning (ICML 2007)

Learning Languages with Rational Kernels

Corinna Cortes, Leonid Kontorovich, Mehryar Mohri

Proceedings of The 20th Annual Conference on Computational Learning Theory (COLT 2007)

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

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

Preference-Based Learning to Rank

Nir Ailon, Mehryar Mohri

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

Adaptive Bound Optimization for Online Convex Optimization

H. Brendan McMahan, Matthew Streeter

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

Multi-Armed Bandit Algorithms and Empirical Evaluation

Joann\`es Vermorel, Mehryar Mohri

Proceedings of the 16th European Conference on Machine Learning (ECML 2005)

Web Page Language Identification Based on URLs

Eda Baykan, Monika Henzinger, Ingmar Weber

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

Generalization Bounds for Learning Kernels

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

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

Domain Adaptation: Learning Bounds and Algorithms

Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

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

Sampling Techniques for the Nystrom Method

Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar

Artificial Intelligence and Statistics (AISTATS), 2009

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, 2008, pp. 141-150

On Sampling-Based Approximate Spectral Decomposition

Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar

International Conference on Machine Learning (ICML), 2009

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)

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)

Discriminative Keyword Spotting

Joseph Keshet, David Grangier, Samy Bengio

Speech Communication (2009), pp. 317-329

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)

Two-Stage Learning Kernel Algorithms

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

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

Learning sequence kernels

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

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

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, 2009 (to appear)

Learning with weighted transducers

Corinna Cortes, Mehryar Mohri

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

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

Quantum Annealing for Clustering

Kenichi Kurihara, Shu Tanaka, Seiji Miyashita

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

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

Mehryar Mohri, Afshin Rostamizadeh

Advances in Neural Information Processing Systems (NIPS 2008), 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

Domain Adaptation with Multiple Sources

Yishay Mansour, Mehryar Mohri, Afshin Rostamizadeh

Advances in Neural Information Processing Systems (NIPS 2008), 2009

Showing Relevant Ads via Lipschitz Context Multi-Armed Bandits

Tyler Lu, Dávid Pál, Martin Pál

Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Introduction

Samy Bengio, Joseph Keshet

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

Discriminative Keyword Spotting

David Grangier, Joseph Keshet, Samy Bengio

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

Automatic Speech and Speaker Recognition: Large Margin and Kernel Methods

Joseph Keshet, Samy Bengio

, 2009

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

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

ECML, 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

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 D. Johnson, Serena Lee, Frank Doherty, Arthur Kressner

IAAI, 2006

Prediction of Advertiser Churn for Google AdWords

Sangho Yoon, Jim Koehler, Adam Ghobarah

JSM Proceedings, 2010 (to appear)

Dependency trees in sub-linear time and bounded memory

Dan Pelleg, Andrew W. Moore

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

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

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), 2008

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

Ensembles of Kernel Predictors

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

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

Domain adaptation in regression

Corinna Cortes, Mehryar Mohri

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

A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels

Cyril Allauzen, Corinna Cortes, Mehryar Mohri

International Journal of Foundations of Computer Science (2011)

Distributed Gibbs sampling for latent variable models

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

Scaling up Machine Learning, 2012 (to appear)

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

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), pp. 63-78

Delay Learning and Polychronization for Reservoir Computing

Hélène Paugam-Moisy, Régis Martinez, Samy Bengio

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

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

Hilbert Space Embeddings of Hidden Markov Models

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

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

Clustering graphs by weighted substructure mining

Koji Tsuda, Taku Kudo

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

A New Perspective on an Old Perceptron Algorithm

Shai Shalev-Shwartz, Yoram Singer

COLT, 2005, pp. 264-278

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

Sequential Projection Learning for Hashing with Compact Codes

Jun Wang, Sanjiv Kumar, Shih-Fu Chang

International Conference on Machine Learning (ICML), 2010

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

Discriminative learning can succeed where generative learning fails

Philip M. Long, Rocco Servedio, Hans Ulrich Simon

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

Domain Adaptation with Coupled Subspaces

John Blitzer, Sham Kakade, Dean Foster

Artificial Intelligence and Statistics, 2011

Efficient discriminative learning of Bayesian network classifier

Yushi Jing, Vladimir Pavlovic, James M. Rehg

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

A Generative Model for Rhythms

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

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

Ensemble Nystrom

Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar

Ensemble Machine Learning, 2011

Large Scale Graph Transduction

Amarnag Subramanya, Jeff Bilmes

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

Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification

Amarnag Subramanya, Jeff Bilmes

NIPS 2009 (2009)

Large Scale Learning to Rank

D. Sculley

NIPS 2009 Workshop on Advances in Ranking

Finding Meaning on YouTube: Tag Recommendation and Category Discovery

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

Computer Vision and Pattern Recognition, 2010

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

Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective

Liviu Panait, Karl Tuyls, Sean Luke

Journal of Machine Learning Research (2008)

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

Learning Structured Embeddings of Knowledge Bases

Antoine Bordes, Jason Weston, Ronan Collobert, Yoshua Bengio

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

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

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

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

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), 2009, pp. 153-160

On the necessity of irrelevant variables

David P. Helmbold, Philip M. Long

ICML, 2011

Can matrix coherence be efficiently and accurately estimated?

Mehryar Mohri, Ameet Talwalkar

Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 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

L2 Regularization for Learning Kernels

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence (UAI 2009)

Exploiting Feature Covariance in High-Dimensional Online Learning

Justin Ma, Alex Kulesza, M. Dredze, K. Crammer, Lawrence K. Saul, Fernando Pereira

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

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)

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)

Des algorithmes d'apprentissage pour mieux classifier

Corinna Cortes, Patrick Haffner, Mehryar Mohri

Pour la Science, vol. 386 (2009)

Learning non-linear combinations of kernels

Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh

Advances in Neural Information Processing Systems (NIPS 2009) (2009)

Natural Language Processing (almost) from Scratch

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

Journal of Machine Learning Research (2010)

Finding planted partitions in nearly linear time using arrested spectral clustering

Nader H. Bshouty, Philip M. Long

ICML, 2010

Restricted Boltzmann Machines are hard to approximately evaluate or simulate

Philip M. Long, Rocco A. Servedio

ICML, 2010

Forecasting Web Page Views: Methods and Observations

Jia Li, Andrew W. Moore

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

Ensemble Nystrom Method

Sanjiv Kumar, Mehryar Mohri, Ameet Talwalkar

Neural Information Processing Systems (NIPS), 2009

Gaussian Margin Machines

Koby Crammer, Mehryar Mohri, Fernando Pereira

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