Ofer Dekel - RankMe

62 papers A* 18A 5Journal 21Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Blockbuster, Part 1: Block-level AI Operator Fusion. CoRR Ofer Dekel
2018	A*	`conf`	Learning SMaLL Predictors. NeurIPS Vikas K. Garg, Ofer Dekel, Lin Xiao
2018	J	`jnl`	Learning SMaLL Predictors. CoRR Vikas K. Garg, Ofer Dekel, Lin Xiao
2018	A	`conf`	Sparse Multi-Prototype Classification. UAI Vikas K. Garg, Lin Xiao, Ofer Dekel
2017	A*	`conf`	Adaptive Neural Networks for Efficient Inference. ICML Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
2017	J	`jnl`	Adaptive Neural Networks for Fast Test-Time Prediction. CoRR Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
2017	—	`conf`	Machine learning on the edge. TIML@ISCA Ofer Dekel
2017	—	`conf`	Online Learning with a Hint. NIPS Ofer Dekel, Arthur Flajolet, Nika Haghtalab, Patrick Jaillet
2016	J	`jnl`	Linear Learning with Sparse Data. CoRR Ofer Dekel
2015	A*	`conf`	Bandit Convex Optimization: \(\sqrt{T}\) Regret in One Dimension. COLT Sébastien Bubeck, Ofer Dekel, Tomer Koren, Yuval Peres
2015	J	`jnl`	Bandit Convex Optimization: sqrt{T} Regret in One Dimension. CoRR Sébastien Bubeck, Ofer Dekel, Tomer Koren, Yuval Peres
2015	—	`conf`	Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff. NIPS Ofer Dekel, Ronen Eldan, Tomer Koren
2015	A*	`conf`	Online Learning with Feedback Graphs: Beyond Bandits. COLT Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel, Tomer Koren
2015	J	`jnl`	Online Learning with Feedback Graphs: Beyond Bandits. CoRR Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel, Tomer Koren
2014	A*	`conf`	Bandits with switching costs: STOC Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
2014	A*	`conf`	Online Learning with Composite Loss Functions. COLT Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
2014	J	`jnl`	Online Learning with Composite Loss Functions. CoRR Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
2014	—	`conf`	The Blinded Bandit: Learning with Adaptive Feedback. NIPS Ofer Dekel, Elad Hazan, Tomer Koren
2013	J	`jnl`	Bandits with Switching Costs: T^{2/3} Regret. CoRR Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
2013	—	`conf`	Better Rates for Any Adversarial Deterministic MDP. ICML (3) Ofer Dekel, Elad Hazan
2013	J	`jnl`	Online Learning with Switching Costs and Other Adaptive Adversaries CoRR Nicolò Cesa-Bianchi, Ofer Dekel, Ohad Shamir
2013	—	`conf`	Online Learning with Switching Costs and Other Adaptive Adversaries. NIPS Nicolò Cesa-Bianchi, Ofer Dekel, Ohad Shamir
2012	J	`jnl`	Deterministic MDPs with Adversarial Rewards and Bandit Feedback CoRR Raman Arora, Ofer Dekel, Ambuj Tewari
2012	A	`conf`	Deterministic MDPs with Adversarial Rewards and Bandit Feedback. UAI Raman Arora, Ofer Dekel, Ambuj Tewari
2012	A*	`conf`	Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret. ICML Ofer Dekel, Ambuj Tewari, Raman Arora
2012	J	`jnl`	Optimal Distributed Online Prediction Using Mini-Batches. J. Mach. Learn. Res. Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
2012	J	`jnl`	Selective sampling and active learning from single and multiple teachers. J. Mach. Learn. Res. Ofer Dekel, Claudio Gentile, Karthik Sridharan
2012	A	`conf`	There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems. AISTATS Ofer Dekel, Ohad Shamir
2011	A*	`conf`	Bundle Selling by Online Estimation of Valuation Functions. ICML Daniel Vainsencher, Ofer Dekel, Shie Mannor
2011	A*	`conf`	Optimal Distributed Online Prediction. ICML Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
2010	J	`jnl`	Incentive compatible regression learning. J. Comput. Syst. Sci. Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
2010	J	`jnl`	Learning to classify with missing and corrupted features. Mach. Learn. Ofer Dekel, Ohad Shamir, Lin Xiao
2010	A	`conf`	Multiclass-Multilabel Classification with More Classes than Examples. AISTATS Ofer Dekel, Ohad Shamir
2010	A*	`conf`	Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. COLT Alekh Agarwal, Ofer Dekel, Lin Xiao
2010	J	`jnl`	Optimal Distributed Online Prediction using Mini-Batches CoRR Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
2010	J	`jnl`	Robust Distributed Online Prediction CoRR Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
2010	A*	`conf`	Robust Selective Sampling from Single and Multiple Teachers. COLT Ofer Dekel, Claudio Gentile, Karthik Sridharan
2009	—	`conf`	Distribution-Calibrated Hierarchical Classification. NIPS Ofer Dekel
2009	A*	`conf`	Good learners for evil teachers. ICML Ofer Dekel, Ohad Shamir
2009	J	`jnl`	Individual sequence prediction using memory-efficient context trees. IEEE Trans. Inf. Theory Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
2009	A*	`conf`	Vox Populi: Collecting High-Quality Labels from a Crowd. COLT Ofer Dekel, Ohad Shamir
2008	—	`conf`	From Online to Batch Learning with Cutoff-Averaging. NIPS Ofer Dekel
2008	A*	`conf`	Incentive compatible regression learning. SODA Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
2008	A*	`conf`	Learning to classify with missing and corrupted features. ICML Ofer Dekel, Ohad Shamir
2008	J	`jnl`	The Forgetron: A Kernel-Based Perceptron on a Budget. SIAM J. Comput. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
2007	A	`conf`	A Boosting Algorithm for Label Covering in Multilabel Problems. AISTATS Yonatan Amit, Ofer Dekel, Yoram Singer
2007	—	`—`	Endowing online prediction algorithms with the ability to generalize (יכולת הכללה באלגוריתמים לומדים מקוונים.). Ofer Dekel
2007	—	`conf`	Incentive Compatible Regression Learning. Computational Social Systems and the Internet Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
2007	J	`jnl`	Online Learning of Multiple Tasks with a Shared Loss. J. Mach. Learn. Res. Ofer Dekel, Philip M. Long, Yoram Singer
2006	A*	`conf`	Online Multitask Learning. COLT Ofer Dekel, Philip M. Long, Yoram Singer
2006	J	`jnl`	Online Passive-Aggressive Algorithms. J. Mach. Learn. Res. Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer
2006	—	`conf`	Support Vector Machines on a Budget. NIPS Ofer Dekel, Yoram Singer
2005	—	`conf`	Data-Driven Online to Batch Conversions. NIPS Ofer Dekel, Yoram Singer
2005	J	`jnl`	Smooth epsiloon-Insensitive Regression by Loss Symmetrization. J. Mach. Learn. Res. Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
2005	—	`conf`	The Forgetron: A Kernel-Based Perceptron on a Fixed Budget. NIPS Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
2004	—	`conf`	An Online Algorithm for Hierarchical Phoneme Classification. MLMI Ofer Dekel, Joseph Keshet, Yoram Singer
2004	A*	`conf`	Large margin hierarchical classification. ICML Ofer Dekel, Joseph Keshet, Yoram Singer
2004	—	`conf`	The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees. NIPS Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
2003	—	`conf`	Log-Linear Models for Label Ranking. NIPS Ofer Dekel, Christopher D. Manning, Yoram Singer
2003	—	`conf`	Online Passive-Aggressive Algorithms. NIPS Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer
2003	A*	`conf`	Smooth e-Intensive Regression by Loss Symmetrization. COLT Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
2002	—	`conf`	Multiclass Learning by Probabilistic Embeddings. NIPS Ofer Dekel, Yoram Singer