Shai Shalev-Shwartz

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Vanishing Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Learning Optimally Sparse Support Vector Machines.

[BibT_eX]

[DOI]

Andrew Cotter

Nati Srebro

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Using More Data to Speed-up Training Time.

[BibT_eX]

[DOI]

Eran Tromer

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Regularization Techniques for Learning with Matrices.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2012

Near-Optimal Algorithms for Online Matrix Prediction.

[BibT_eX]

[DOI]

Elad Hazan

Satyen Kale

Proceedings of the COLT 2012, 2012

Online Learning and Online Convex Optimization.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2012

Proximal Stochastic Dual Coordinate Ascent

[BibT_eX]

[DOI]

Tong Zhang

CoRR, 2012

The error rate of learning halfspaces using Kernel-SVMs

[BibT_eX]

[DOI]

Amit Daniely

Nati Linial

CoRR, 2012

Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization

[BibT_eX]

[DOI]

Tong Zhang

CoRR, 2012

Efficient Pool-Based Active Learning of Halfspaces

[BibT_eX]

[DOI]

Alon Gonen

CoRR, 2012

Multiclass Learning Approaches: A Theoretical Comparison with Implications.

[BibT_eX]

[DOI]

Amit Daniely

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs.

[BibT_eX]

[DOI]

Aharon Birnbaum

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Domain Adaptation--Can Quantity compensate for Quality?.

[BibT_eX]

[DOI]

Shai Ben-David

Ruth Urner

Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2012

Learning the Experts for Online Sequence Prediction.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Machine Learning, 2012

The Kernelized Stochastic Batch Perceptron.

[BibT_eX]

[DOI]

Andrew Cotter

Proceedings of the 29th International Conference on Machine Learning, 2012

Learnability beyond Uniform Convergence.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Learning Theory - 23rd International Conference, 2012

2011

Online Learning of Noisy Data.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2011

Learning Kernel-Based Halfspaces with the 0-1 Loss.

[BibT_eX]

[DOI]

SIAM J. Comput., 2011

Pegasos: primal estimated sub-gradient solver for SVM.

[BibT_eX]

[DOI]

Math. Program., 2011

Collaborative Filtering with the Trace Norm: Learning, Bounding, and Transducing.

[BibT_eX]

[DOI]

Proceedings of the COLT 2011, 2011

Stochastic Methods for l1-regularized Loss Minimization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Efficient Learning with Partially Observed Attributes.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Active Learning Halfspaces under Margin Assumptions

[BibT_eX]

[DOI]

Alon Gonen

CoRR, 2011

ShareBoost: Efficient multiclass learning with feature sharing.

[BibT_eX]

[DOI]

Yonatan Wexler

Amnon Shashua

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Learning Linear and Kernel Predictors with the 0-1 Loss Function.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Access to Unlabeled Data can Speed up Prediction Time.

[BibT_eX]

[DOI]

Ruth Urner

Shai Ben-David

Proceedings of the 28th International Conference on Machine Learning, 2011

Large-Scale Convex Minimization with a Low-Rank Constraint.

[BibT_eX]

[DOI]

Alon Gonen

Proceedings of the 28th International Conference on Machine Learning, 2011

Quantity Makes Quality: Learning with Partial Views.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Trading Accuracy for Sparsity in Optimization Problems with Sparsity Constraints.

[BibT_eX]

[DOI]

Tong Zhang

SIAM J. Optim., 2010

On the equivalence of weak learnability and linear separability: new relaxations and efficient boosting algorithms.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Learnability, Stability and Uniform Convergence.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2010

Learning Kernel-Based Halfspaces with the Zero-One Loss.

[BibT_eX]

[DOI]

Proceedings of the COLT 2010, 2010

Composite Objective Mirror Descent.

[BibT_eX]

[DOI]

Proceedings of the COLT 2010, 2010

Online Learning of Noisy Data with Kernels.

[BibT_eX]

[DOI]

Proceedings of the COLT 2010, 2010

2009

Individual sequence prediction using memory-efficient context trees.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2009

Applications of strong convexity--strong smoothness duality to learning with matrices

[BibT_eX]

[DOI]

CoRR, 2009

Learnability and Stability in the General Learning Setting.

[BibT_eX]

[DOI]

Proceedings of the COLT 2009, 2009

Stochastic Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the COLT 2009, 2009

The Complexity of Improperly Learning Large Margin Halfspaces.

[BibT_eX]

[DOI]

Proceedings of the COLT 2009, 2009

Agnostic Online Learning.

[BibT_eX]

[DOI]

Shai Ben-David

Dávid Pál

Proceedings of the COLT 2009, 2009

2008

Perceptron Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Algorithms - 2008 Edition, 2008

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

[BibT_eX]

[DOI]

SIAM J. Comput., 2008

Ranking Categorical Features Using Generalization Properties.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2008

Online Learning of Complex Prediction Problems Using Simultaneous Projections.

[BibT_eX]

[DOI]

Yonatan Amit

J. Mach. Learn. Res., 2008

Fast Rates for Regularized Objectives.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Mind the Duality Gap: Logarithmic regret algorithms for online optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

SVM optimization: inverse dependence on training set size.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

Efficient bandit algorithms for online multiclass prediction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

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

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

2007

Online learning: theory, algorithms and applications (למידה מקוונת.).

[BibT_eX]

[DOI]

PhD thesis, 2007

A Large Margin Algorithm for Speech-to-Phoneme and Music-to-Score Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2007

A primal-dual perspective of online learning algorithms.

[BibT_eX]

[DOI]

Mach. Learn., 2007

A Unified Algorithmic Approach for Efficient Online Label Ranking.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Pegasos: Primal Estimated sub-GrAdient SOlver for SVM.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

Prediction by Categorical Features: Generalization Properties and Application to Feature Ranking.

[BibT_eX]

[DOI]

Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007

2006

Efficient Learning of Label Ranking by Soft Projections onto Polyhedra.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

Online Passive-Aggressive Algorithms.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

Convex Repeated Games and Fenchel Duality.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Online Classification for Complex Problems Using Simultaneous Projections.

[BibT_eX]

[DOI]

Yonatan Amit

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Discriminative kernel-based phoneme sequence recognition.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2006, 2006

Online multiclass learning by interclass hypothesis sharing.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Online Learning Meets Optimization in the Dual.

[BibT_eX]

[DOI]

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005

Smooth epsiloon-Insensitive Regression by Loss Symmetrization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2005

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Phoneme alignment based on discriminative learning.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2005, 2005

A New Perspective on an Old Perceptron Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005

2004

The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Learning to Align Polyphonic Music.

[BibT_eX]

[DOI]

Joseph Keshet

Proceedings of the ISMIR 2004, 2004

Online and batch learning of pseudo-metrics.

[BibT_eX]

[DOI]

Andrew Y. Ng

Proceedings of the Machine Learning, 2004

2003

Online Passive-Aggressive Algorithms.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Smooth e-Intensive Regression by Loss Symmetrization.

[BibT_eX]

[DOI]