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 | 2013 | |
|---|---|---|
| i4 |      | Nicolò Cesa-Bianchi, Ofer Dekel, Ohad Shamir: Online Learning with Switching Costs and Other Adaptive Adversaries. CoRR abs/1302.4387 (2013) |
| 2012 | ||
| j11 | | Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao: Optimal Distributed Online Prediction Using Mini-Batches. Journal of Machine Learning Research 13: 165-202 (2012) |
| j10 | | Ofer Dekel, Ohad Shamir: There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems. Journal of Machine Learning Research - Proceedings Track 22: 291-298 (2012) |
| c24 | | Ofer Dekel, Ambuj Tewari, Raman Arora: Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret. ICML 2012 |
| c23 | | Raman Arora, Ofer Dekel, Ambuj Tewari: Deterministic MDPs with Adversarial Rewards and Bandit Feedback. UAI 2012: 93-101 |
| i3 | | Raman Arora, Ofer Dekel, Ambuj Tewari: Deterministic MDPs with Adversarial Rewards and Bandit Feedback. CoRR abs/1210.4843 (2012) |
| 2011 | ||
| c22 |  | Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao: Optimal Distributed Online Prediction. ICML 2011: 713-720 |
| c21 | | Daniel Vainsencher, Ofer Dekel, Shie Mannor: Bundle Selling by Online Estimation of Valuation Functions. ICML 2011: 1137-1144 |
| 2010 | ||
| j9 | | Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia: Incentive compatible regression learning. J. Comput. Syst. Sci. 76(8): 759-777 (2010) |
| j8 | | Ofer Dekel, Ohad Shamir: Multiclass-Multilabel Classification with More Classes than Examples. Journal of Machine Learning Research - Proceedings Track 9: 137-144 (2010) |
| j7 | | Ofer Dekel, Ohad Shamir, Lin Xiao: Learning to classify with missing and corrupted features. Machine Learning 81(2): 149-178 (2010) |
| c20 | | Alekh Agarwal, Ofer Dekel, Lin Xiao: Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. COLT 2010: 28-40 |
| c19 | | Ofer Dekel, Claudio Gentile, Karthik Sridharan: Robust Selective Sampling from Single and Multiple Teachers. COLT 2010: 346-358 |
| i2 | | Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao: Optimal Distributed Online Prediction using Mini-Batches. CoRR abs/1012.1367 (2010) |
| i1 | | Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao: Robust Distributed Online Prediction. CoRR abs/1012.1370 (2010) |
| 2009 | ||
| j6 | | Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer: Individual sequence prediction using memory-efficient context trees. IEEE Transactions on Information Theory 55(11): 5251-5262 (2009) |
| c18 | | |
| c17 | | |
| c16 | | |
| 2008 | ||
| j5 | | Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer: The Forgetron: A Kernel-Based Perceptron on a Budget. SIAM J. Comput. 37(5): 1342-1372 (2008) |
| c15 | | Ofer Dekel, Ohad Shamir: Learning to classify with missing and corrupted features. ICML 2008: 216-223 |
| c14 | | |
| c13 | | Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia: Incentive compatible regression learning. SODA 2008: 884-893 |
| 2007 | ||
| j4 | | Yonatan Amit, Ofer Dekel, Yoram Singer: A Boosting Algorithm for Label Covering in Multilabel Problems. Journal of Machine Learning Research - Proceedings Track 2: 27-34 (2007) |
| j3 | | Ofer Dekel, Philip M. Long, Yoram Singer: Online Learning of Multiple Tasks with a Shared Loss. Journal of Machine Learning Research 8: 2233-2264 (2007) |
| c12 | | Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia: Incentive Compatible Regression Learning. Computational Social Systems and the Internet 2007 |
| 2006 | ||
| j2 | | Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer: Online Passive-Aggressive Algorithms. Journal of Machine Learning Research 7: 551-585 (2006) |
| c11 | | |
| c10 | | |
| 2005 | ||
| j1 | | Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer: Smooth epsiloon-Insensitive Regression by Loss Symmetrization. Journal of Machine Learning Research 6: 711-741 (2005) |
| c9 | | |
| c8 | | Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer: The Forgetron: A Kernel-Based Perceptron on a Fixed Budget. NIPS 2005 |
| 2004 | ||
| c7 | | |
| c6 | | Ofer Dekel, Joseph Keshet, Yoram Singer: An Online Algorithm for Hierarchical Phoneme Classification. MLMI 2004: 146-158 |
| c5 | | Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer: The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees. NIPS 2004 |
| 2003 | ||
| c4 | | Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer: Smooth e-Intensive Regression by Loss Symmetrization. COLT 2003: 433-447 |
| c3 | | |
| c2 | | Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer: Online Passive-Aggressive Algorithms. NIPS 2003 |
| 2002 | ||
| c1 | | |
Colors in the list of coauthors
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