Search Machine Learning Repository:
All publications by Yoram Singer
authors venues years



Local Low-Rank Matrix Approximation
Joonseok Lee, Seungyeon Kim, Guy Lebanon and Yoram Singer
Proceedings of the 30th International Conference on Machine Learning (ICML-13), 2013


Efficient Online and Batch Learning Using Forward Backward Splitting
John C. Duchi and Yoram Singer
Journal of Machine Learning Research, 2009


Boosting with structural sparsity
John C. Duchi and Yoram Singer
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Group Sparse Coding
Samy Bengio, Fernando Pereira, Yoram Singer and Dennis Strelow
Advances in Neural Information Processing Systems 22, 2009


Efficient Learning using Forward-Backward Splitting
Yoram Singer and John C. Duchi
Advances in Neural Information Processing Systems 22, 2009


Efficient projections onto the {\it l}$_{\mbox{1}}$-ball for learning in high dimensions
John C. Duchi, Shai Shalev-shwartz, Yoram Singer and Tushar Chandra
Proceedings of the 25th International Conference on Machine Learning (ICML-08), 2008


Online Learning of Complex Prediction Problems Using Simultaneous Projections
Yonatan Amit, Shai Shalev-shwartz and Yoram Singer
Journal of Machine Learning Research, 2008


Pegasos: Primal Estimated sub-GrAdient SOlver for SVM
Shai Shalev-shwartz, Yoram Singer and Nathan Srebro
Proceedings of the 24th International Conference on Machine Learning (ICML-07), 2007


Online Learning of Multiple Tasks with a Shared Loss
Ofer Dekel, Philip M. Long and Yoram Singer
Journal of Machine Learning Research, 2007


A Unified Algorithmic Approach for Efficient Online Label Ranking
Shai Shalev-shwartz and Yoram Singer
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


A Boosting Algorithm for Label Covering in Multilabel Problems
Yonatan Amit, Ofer Dekel and Yoram Singer
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-07), 2007


Online multiclass learning by interclass hypothesis sharing
Michael Fink, Shai Shalev-shwartz, Yoram Singer and Shimon Ullman
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Efficient Learning of Label Ranking by Soft Projections onto Polyhedra
Shai Shalev-shwartz and Yoram Singer
Journal of Machine Learning Research, 2006


Image Retrieval and Classification Using Local Distance Functions
Andrea Frome, Yoram Singer and Jitendra Malik
Advances in Neural Information Processing Systems 19, 2006


Online Classification for Complex Problems Using Simultaneous Projections
Yonatan Amit, Shai Shalev-shwartz and Yoram Singer
Advances in Neural Information Processing Systems 19, 2006


Support Vector Machines on a Budget
Ofer Dekel and Yoram Singer
Advances in Neural Information Processing Systems 19, 2006


Convex Repeated Games and Fenchel Duality
Shai Shalev-shwartz and Yoram Singer
Advances in Neural Information Processing Systems 19, 2006


Online Passive-Aggressive Algorithms
Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-shwartz and Yoram Singer
Journal of Machine Learning Research, 2006


Data-Driven Online to Batch Conversions
Ofer Dekel and Yoram Singer
Advances in Neural Information Processing Systems 18, 2005


The Forgetron: A Kernel-Based Perceptron on a Fixed Budget
Ofer Dekel, Shai Shalev-shwartz and Yoram Singer
Advances in Neural Information Processing Systems 18, 2005


Smooth epsiloon-Insensitive Regression by Loss Symmetrization
Ofer Dekel, Shai Shalev-shwartz and Yoram Singer
Journal of Machine Learning Research, 2005


Online and batch learning of pseudo-metrics
Shai Shalev-shwartz, Yoram Singer and Andrew Y. Ng
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Leveraging the margin more carefully
Nir Krause and Yoram Singer
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


Large margin hierarchical classification
Ofer Dekel, Joseph Keshet and Yoram Singer
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004


The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees
Ofer Dekel, Shai Shalev-shwartz and Yoram Singer
Advances in Neural Information Processing Systems 17, 2004


A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities
Lavi Shpigelman, Koby Crammer, Rony Paz, Eilon Vaadia and Yoram Singer
Advances in Neural Information Processing Systems 17, 2004


Online Passive-Aggressive Algorithms
Shai Shalev-shwartz, Koby Crammer, Ofer Dekel and Yoram Singer
Advances in Neural Information Processing Systems 16, 2003


Log-Linear Models for Label Ranking
Ofer Dekel, Yoram Singer and Christopher D. Manning
Advances in Neural Information Processing Systems 16, 2003


Online Classification on a Budget
Koby Crammer, Jaz Kandola and Yoram Singer
Advances in Neural Information Processing Systems 16, 2003


An Efficient Boosting Algorithm for Combining Preferences
Yoav Freund, Raj D. Iyer, Robert E. Schapire and Yoram Singer
Journal of Machine Learning Research, 2003


A Family of Additive Online Algorithms for Category Ranking
Koby Crammer and Yoram Singer
Journal of Machine Learning Research, 2003


Ultraconservative Online Algorithms for Multiclass Problems
Koby Crammer and Yoram Singer
Journal of Machine Learning Research, 2003


Discriminative Binaural Sound Localization
Ehud Ben-reuven and Yoram Singer
Advances in Neural Information Processing Systems 15, 2002


Spikernels: Embedding Spiking Neurons in Inner-Product Spaces
Lavi Shpigelman, Yoram Singer, Rony Paz and Eilon Vaadia
Advances in Neural Information Processing Systems 15, 2002


Multiclass Learning by Probabilistic Embeddings
Ofer Dekel and Yoram Singer
Advances in Neural Information Processing Systems 15, 2002


Kernel Design Using Boosting
Koby Crammer, Joseph Keshet and Yoram Singer
Advances in Neural Information Processing Systems 15, 2002


Pranking with Ranking
Koby Crammer and Yoram Singer
Advances in Neural Information Processing Systems 14, 2001


On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines
Koby Crammer and Yoram Singer
Journal of Machine Learning Research, 2001


Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers
Erin L. Allwein, Robert E. Schapire and Yoram Singer
Journal of Machine Learning Research, 2000