Dekel, Ofer

41 publications

NeurIPS 2018 Learning SMaLL Predictors Vikas Garg, Ofer Dekel, Lin Xiao

UAI 2018 Sparse Multi-Prototype Classification Vikas K. Garg, Lin Xiao, Ofer Dekel

ICML 2017 Adaptive Neural Networks for Efficient Inference Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama

NeurIPS 2017 Online Learning with a Hint Ofer Dekel, Arthur Flajolet, Nika Haghtalab, Patrick Jaillet

COLT 2015 Bandit Convex Optimization: \(\sqrt{T}\) Regret in One Dimension Sébastien Bubeck, Ofer Dekel, Tomer Koren, Yuval Peres

NeurIPS 2015 Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff Ofer Dekel, Ronen Eldan, Tomer Koren

COLT 2015 Online Learning with Feedback Graphs: Beyond Bandits Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel, Tomer Koren

COLT 2014 Online Learning with Composite Loss Functions Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres

NeurIPS 2014 The Blinded Bandit: Learning with Adaptive Feedback Ofer Dekel, Elad Hazan, Tomer Koren

ICML 2013 Better Rates for Any Adversarial Deterministic MDP Ofer Dekel, Elad Hazan

NeurIPS 2013 Online Learning with Switching Costs and Other Adaptive Adversaries Nicolò Cesa-Bianchi, Ofer Dekel, Ohad Shamir

UAI 2012 Deterministic MDPs with Adversarial Rewards and Bandit Feedback Raman Arora, Ofer Dekel, Ambuj Tewari

ICML 2012 Online Bandit Learning Against an Adaptive Adversary: From Regret to Policy Regret Ofer Dekel, Ambuj Tewari, Raman Arora

JMLR 2012 Optimal Distributed Online Prediction Using Mini-Batches Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao

JMLR 2012 Selective Sampling and Active Learning from Single and Multiple Teachers Ofer Dekel, Claudio Gentile, Karthik Sridharan

AISTATS 2012 There’s a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems Ofer Dekel, Ohad Shamir

ICML 2011 Bundle Selling by Online Estimation of Valuation Functions Daniel Vainsencher, Ofer Dekel, Shie Mannor

ICML 2011 Optimal Distributed Online Prediction Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao

MLJ 2010 Learning to Classify with Missing and Corrupted Features Ofer Dekel, Ohad Shamir, Lin Xiao

AISTATS 2010 Multiclass-Multilabel Classification with More Classes than Examples Ofer Dekel, Ohad Shamir

COLT 2010 Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback Alekh Agarwal, Ofer Dekel, Lin Xiao

COLT 2010 Robust Selective Sampling from Single and Multiple Teachers Ofer Dekel, Claudio Gentile, Karthik Sridharan

NeurIPS 2009 Distribution-Calibrated Hierarchical Classification Ofer Dekel

ICML 2009 Good Learners for Evil Teachers Ofer Dekel, Ohad Shamir

COLT 2009 Vox Populi: Collecting High-Quality Labels from a Crowd Ofer Dekel, Ohad Shamir

NeurIPS 2008 From Online to Batch Learning with Cutoff-Averaging Ofer Dekel

ICML 2008 Learning to Classify with Missing and Corrupted Features Ofer Dekel, Ohad Shamir

AISTATS 2007 A Boosting Algorithm for Label Covering in Multilabel Problems Yonatan Amit, Ofer Dekel, Yoram Singer

JMLR 2007 Online Learning of Multiple Tasks with a Shared Loss Ofer Dekel, Philip M. Long, Yoram Singer

COLT 2006 Online Multitask Learning Ofer Dekel, Philip M. Long, Yoram Singer

JMLR 2006 Online Passive-Aggressive Algorithms Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer

NeurIPS 2006 Support Vector Machines on a Budget Ofer Dekel, Yoram Singer

NeurIPS 2005 Data-Driven Online to Batch Conversions Ofer Dekel, Yoram Singer

JMLR 2005 Smooth Ε-Insensitive Regression by Loss Symmetrization Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

NeurIPS 2005 The Forgetron: A Kernel-Based Perceptron on a Fixed Budget Ofer Dekel, Shai Shalev-shwartz, Yoram Singer

ICML 2004 Large Margin Hierarchical Classification Ofer Dekel, Joseph Keshet, Yoram Singer

NeurIPS 2004 The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees Ofer Dekel, Shai Shalev-shwartz, Yoram Singer

NeurIPS 2003 Log-Linear Models for Label Ranking Ofer Dekel, Yoram Singer, Christopher D. Manning

NeurIPS 2003 Online Passive-Aggressive Algorithms Shai Shalev-shwartz, Koby Crammer, Ofer Dekel, Yoram Singer

COLT 2003 Smooth E-Intensive Regression by Loss Symmetrization Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer

NeurIPS 2002 Multiclass Learning by Probabilistic Embeddings Ofer Dekel, Yoram Singer