Ofer Dekel
RESEARCHER
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Publications
- Ofer Dekel, Distribution-Calibrated Hierarchical Classification, in Advances in Neural Information Processing Systems 22, December 2009
- Ofer Dekel and Ohad Shamir, Multiclass-Multilabel Learning when the Label Set Grows with the Number of Examples, no. MSR-TR-2009-163, November 2009
- Ofer Dekel and Ohad Shamir, Good Learners for Evil Teachers, in Proceedings of the Twenty-Sixth International Conference on Machine Learning, July 2009
- Ofer Dekel and Ohad Shamir, Vox Populi: Collecting High-Quality Labels from a Crowd, in Proceedings of the Twenty-Second Annual Conference on Learning Theory, June 2009
- Ofer Dekel, Shai Shalev-Shwartz, and Yoram Singer, Individual Sequence Prediction using Memory-Efficient Context Trees, in IEEE Transactions on Information Theory, March 2009
- Ofer Dekel, Ohad Shamir, and Lin Xiao, Learning to Classify with Missing and Corrupted Features, in Machine Learning Journal, 2009
- Ofer Dekel, From Online to Batch Learning with Cutoff Averaging, in Advances in Neural Information Processing Systems 21, January 2009
- Ofer Dekel and Ohad Shamir, Learning to Classify with Missing and Corrupted Features, in Proceedings of the Twenty-Fifth International Conference on Machine Learning, 2008
- Ofer Dekel, Shai Shalev-Shwartz, and Yoram Singer, The Forgetron: A Kernel-Based Perceptron on a Budget, in SIAM Journal on Computing, vol. 37, no. 5, pp. 1342–1372, 2008
- Ofer Dekel, Ariel Procaccia, and Felix Fischer, Incentive Compatible Regression Learning, in Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2008
- Ofer Dekel and Yoram Singer, Support Vector Machines on a Budget, in Advances in Neural Information Processing Systems 19, MIT Press, 2007
- Ofer Dekel, Philip M. Long, and Yoram Singer, Online Learning of Multiple Tasks with a Shared Loss, in Journal of Machine Learning Research, vol. 8, pp. 2233–2264, 2007
- Yonatan Amit, Ofer Dekel, and Yoram Singer, A Boosting Algorithm for Label Covering in Multilabel Problems, in Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007
- Ofer Dekel and Yoram Singer, Data-Driven Online to Batch Conversions, in Advances in Neural Information Processing Systems 18, MIT Press, 2006
- Ofer Dekel, Shai Shalev-Shwartz, and Yoram Singer, The Forgetron: A Kernel-Based Perceptron on a Fixed Budget, in Advances in Neural Information Processing Systems 18, MIT Press, 2006
- Ofer Dekel, Philip M. Long, and Yoram Singer, Online Multitask Learning, in Proceedings of the Nineteenth Annual Conference on Learning Theory, Springer LNAI 4005, 2006
- Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, and Yoram Singer, Online Passive-Aggressive Algorithms, in Journal of Machine Learning Research, vol. 7, pp. 551–585, 2006
- Ofer Dekel, Shai Shalev-Shwartz, and Yoram Singer, Smooth Epsilon-Insensitive Regression by Loss Symmetrization, in Journal of Machine Learning Research, vol. 6, pp. 711–741, 2005
- Ofer Dekel, Joseph Keshet, and Yoram Singer, An Online Algorithm for Hierarchical Phoneme Classification, in Machine Learning for Multimodal Interaction: First International Workshop, Springer LNAI 3361, 2005
- Ofer Dekel, Shai Shalev-Shwartz, and Yoram Singer, The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees, in Advances in Neural Information Processing Systems 17, MIT Press, 2005
- Ofer Dekel, Joseph Keshet, and Yoram Singer, Large Margin Hierarchical Classification, in Proceedings of the Twenty-First International Conference on Machine Learning, 2004
- Ofer Dekel, Christopher Manning, and Yoram Singer, Log-Linear Models for Label Ranking, in Advances in Neural Information Processing Systems 16, 2004
- Koby Crammer, Ofer Dekel, Shai Shalev-Shwartz, and Yoram Singer, Online Passive-Aggressive Algorithms, in Advances in Neural Information Processing Systems 16, MIT Press, 2004
- Ofer Dekel and Yoram Singer, Multiclass Categorization by Probabilistic Embeddings, in Advances in Neural Information Processing Systems 15, MIT Press, 2003
- Ofer Dekel, Shai Shalev-Shwartz, and Yoram Singer, Smooth Epsilon-Insensitive Regression by Loss Symmetrization, in Proceedings of the Sixteenth Annual Conference on Computational Learning Theory, Springer LNAI 2777, 2003
