Yoram Singer

Publications

• “Entire Relaxation Path for Maximum Entropy Problems”, Moshe Dubiner, Yoram Singer, EMNLP 2011 (to appear).
  [abstract] [pdf] [search]

• “Boosting with structural sparsity”, John Duchi, Yoram Singer, ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning, 2009, pp. 297-304.
  [doi.acm.org] [search]

• “Group Sparse Coding”, Samy Bengio, Fernando Pereira, Yoram Singer, Dennis Strelow, Advances in Neural Information Processing Systems, 2009.
  [pdf] [search]

• “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, 2008, pp. 272-279.
  [doi.acm.org] [search]

• “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.
  [search]

• “A Primal-Dual Perspective of Online Learning Algorithms”, Shai Shalev-Shwartz, Yoram Singer, Machine Learning, vol. 69, no. 2-3 (2007), pp. 115-142.
  [doi] [search]

• “Online learning of multiple tasks with a shared loss”, Ofer Dekel, Philip M. Long, Yoram Singer, JMLR, vol. 8 (2007), pp. 2233-2264.
  [jmlr.csail.mit.edu] [pdf] [search]

• “Efficient Learning of Label Ranking by Soft Projections onto Polyhedra”, S. Shalev-Shwartz, Y. Singer, Journal of Machine Learning Research (2006).
  [pdf] [search]

• “Online Learning meets Optimization in the Dual”, S. Shalev-Shwartz, Y. Singer, Proceedings of the Nineteenth Annual Conference on Computational Learning Theory, 2006.
  [pdf] [search]

• “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.
  [pdf] [search]

• “Online Passive Aggressive Algorithms”, K. Crammer, O. Dekel, J. Keshet, S. Shalev-Shwartz, Y. Singer, Journal of Machine Learning Research, vol. 7 (2006).
  [pdf] [search]

• “A New Perspective on an Old Perceptron Algorithm”, Shai Shalev-Shwartz, Yoram Singer, COLT, 2005, pp. 264-278.
  [doi] [search]

• “A New Perspective on an Old Perceptron Algorithm”, S. Shalev-Shwartz, Y. Singer, Proceedings of the Eighteenth Annual Conference on Computational Learning Theory, 2005.
  [pdf] [search]

• “Data-Driven Online to Batch Conversions”, Ofer Dekel, Yoram Singer, NIPS, 2005.
  [books.nips.cc] [search]

• “Loss Bounds for Online Category Ranking”, K. Crammer, Y. Singer, Proceedings of the Eighteenth Annual Conference on Computational Learning Theory, 2005.
  [search]

• “Online Ranking by Projecting”, K. Crammer, Y. Singer, Neural Computation, vol. 17 (2005).
  [search]

• “Phoneme Alignment Based on Discriminative Learning”, J. Keshet, S. Shalev-Shwartz, Y. Singer, D. Chazan, Interspeech, 2005.
  [pdf] [search]

• “The Forgetron: A Kernel-Based Perceptron on a Fixed Budget”, Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer, NIPS, 2005.
  [books.nips.cc] [search]

Prior Publications

• “The Forgetron: A Kernel-Based Perceptron on a Budget”, Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer, SIAM J. Comput., vol. 37 (2008), pp. 1342-1372.
  [doi] [search]

• “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.
  [search]

• “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.
  [search]

• “An Online Algorithm for Hierarchical Phoneme Classification”, Ofer Dekel, Joseph Keshet, Yoram Singer, MLMI, 2004, pp. 146-158.
  [springerlink.metapress.com] [search]

• “Large Margin Hierarchical Classification”, O. Dekel, J. Keshet, Y. Singer, Proceedings of the 21st International Conference on Machine Learning, 2004.
  [search]

• “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.
  [search]

• “Learning to Align Polyphonic Music”, Shai Shalev-Shwartz, Joseph Keshet, Yoram Singer, ISMIR, 2004.
  [ismir2004.ismir.net] [search]

• “Learning to Align Polyphonic Music”, S. Shalev-Shwartz, J. Keshet, Y. Singer, Proceedings of the 5th International Conference on Music Information Retrieval, 2004.
  [search]

• “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.
  [search]

• “Online and Batch Learning of Pseudo-Metrics”, S. Shalev-Shwartz, Y. Singer, A. Ng, Proceedings of the 21st International Conference on Machine Learning, 2004.
  [search]

• “Online and batch learning of pseudo-metrics”, Shai Shalev-Shwartz, Yoram Singer, Andrew Y. Ng, ICML, 2004.
  [doi.acm.org] [search]

• “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.
  [search]

• “A Family of Additive Online Algorithms for Category Ranking”, Koby Crammer, Yoram Singer, Journal of Machine Learning Research, vol. 3 (2003), pp. 1025-1058.
  [jmlr.org] [search]

• “Online Passive-Aggressive Algorithms”, Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer, NIPS, 2003.
  [books.nips.cc] [search]

• “Boosting for Document Routing”, Raj D. Iyer, David D. Lewis, Robert E. Schapire, Yoram Singer, Amit Singhal, CIKM, 2000, pp. 70-77.
  [doi.acm.org] [search]

• “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.
  [search]

• “Boosting and Rocchio Applied to Text Filtering”, Robert E. Schapire, Yoram Singer, Amit Singhal, SIGIR, 1998, pp. 215-223.
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• “Shared Context Probabilistic Transducers”, Yoshua Bengio, Samy Bengio, Jean-Francois Isabelle, Yoram Singer, Advances in Neural Information Processing Systems, NIPS 10, 1997.
  [search]

• “Beyond Word N-Grams”, Fernando Pereira, Yoram Singer, Naftali Z. Tishby, Proceedings of the Third Workshop on Very Large Corpora, 1995, pp. 95-106.
  [cs.huji.ac.il] [search]