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)

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)

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)

Deep Learning via Semi-Supervised Embedding

Jason Weston, Frederic Ratle, Hossein Mobahi, Ronan Collobert

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

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

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

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

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) (to appear)

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)

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) (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 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) (to appear)

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) (to appear)

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)

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) (to appear)

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)

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) (to appear)

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) (to appear)

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) (to appear)

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)

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)

A Disambiguation Algorithm for Finite Automata and Functional Transducers

Mehryar Mohri, Andres Muñoz 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) (to appear)

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 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)

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 Muñoz Medina

CoRR, vol. abs/1205.4343 (2012)

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)

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

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, Jon 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)

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 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 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)

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 YouTube: 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 YouTube 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

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

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)

YouTube 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 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

Structured Learning with Approximate Inference

Alex Kulesza, Fernando Pereira

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

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)

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)