Group Sparse Coding, Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow, Advances in Neural Information Processing Systems, 2009 (to appear).
A Primal-Dual Perspective of Online Learning Algorithms, Shai Shalev-Shwartz, Yoram Singer, Machine Learning, vol. 69, no. 2-3 (2007), pp. 115-142.
Online learning of multiple tasks with a shared loss, Ofer Dekel, Philip M. Long, Yoram Singer, JMLR, vol. 8 (2007), pp. 2233-2264.
Efficient Learning of Label Ranking by Soft Projections onto Polyhedra, S. Shalev-Shwartz, Y. Singer, Journal of Machine Learning Research (2006).
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).
A New Perspective on an Old Perceptron Algorithm, Shai Shalev-Shwartz, Yoram Singer, COLT, 2005, pp. 264-278.
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.
Loss Bounds for Online Category Ranking, K. Crammer, Y. Singer, Proceedings of the Eighteenth Annual Conference on Computational Learning Theory, 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.
The Forgetron: A Kernel-Based Perceptron on a Fixed Budget, Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer, NIPS, 2005.
Discriminative Kernel-Based Phoneme Sequence Recognition, J. Keshet, S. Shalev-Shwartz, S. Bengio, Y. Singer, D. Chazan, Proceedings of the International Conference on Spoken Language Processing, Interspeech-ICSLP, 2006.
Smooth Epsilon-Insensitive Regression by Loss Symmetrization, O. Dekel, S. Shalev-Shwartz, Y. Singer, Journal of Machine Learning Research, vol. 6 (2005), pp. 711-741.
An Online Algorithm for Hierarchical Phoneme Classification, Ofer Dekel, Joseph Keshet, Yoram Singer, MLMI, 2004, pp. 146-158.
Large Margin Hierarchical Classification, O. Dekel, J. Keshet, Y. Singer, Proceedings of the 21st International Conference on Machine Learning, 2004.
Learning Theory, 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings, John Shawe-Taylor, Yoram Singer, Editor, COLT, 2004.
Learning to Align Polyphonic Music, Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer, ISMIR, 2004.
Learning to Align Polyphonic Music, S. Shalev-Shwartz, J. Keshet, Y. Singer, Proceedings of the 5th International Conference on Music Information Retrieval, 2004.
Online Algorithm for Hierarchical Phoneme Classification, O. Dekel, J. Keshet, Y. Singer, Workshop on Multimodal Interaction and Related Machine Learning Algorithms; Lecture Notes in Computer Science, 2004, pp. 146-159.
Online and Batch Learning of Pseudo-Metrics, S. Shalev-Shwartz, Y. Singer, A. Ng, Proceedings of the 21st International Conference on Machine Learning, 2004.
Online and batch learning of pseudo-metrics, Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng, ICML, 2004.
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees, O. Dekel, S. Shalev-Shwartz, Y. Singer, Advances in Neural Information Processing Systems 17, 2004.
A Family of Additive Online Algorithms for Category Ranking, Koby Crammer, Yoram Singer, Journal of Machine Learning Research, vol. 3 (2003), pp. 1025-1058.
Online Passive-Aggressive Algorithms, Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer, NIPS, 2003.
Boosting for Document Routing, Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, Amit Singhal, CIKM, 2000, pp. 70-77.
An Efficient Extension to Mixture Techniques for Prediction and Decision Trees, Fernando C. N. Pereira, Yoram Singer, Machine Learning, vol. 36 (1999), pp. 183-199.
Boosting and Rocchio Applied to Text Filtering, Robert E. Schapire, Yoram Singer, Amit Singhal, SIGIR, 1998, pp. 215-223.
Shared Context Probabilistic Transducers, Yoshua Bengio, Samy Bengio, Jean-Francois Isabelle, Yoram Singer, Advances in Neural Information Processing Systems, NIPS 10, 1997.
Beyond Word N-Grams, Fernando Pereira, Yoram Singer, Naftali Z. Tishby, Proceedings of the Third Workshop on Very Large Corpora, 1995, pp. 95-106.