Ofer Dekel

Publication Activity (10 Years)

Years Active: 2002-2018
Publications (10 Years): 8

Top Topics

Efficient Inference

Bandit Problems

Switching Costs

Top Venues

J. Mach. Learn. Res.

Publications

Vikas K. Garg, Lin Xiao, Ofer Dekel
Sparse Multi-Prototype Classification. UAI (2018)
Vikas K. Garg, Ofer Dekel, Lin Xiao
Learning SMaLL Predictors. NeurIPS (2018)
Vikas K. Garg, Ofer Dekel, Lin Xiao
Learning SMaLL Predictors. CoRR (2018)
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
Adaptive Neural Networks for Efficient Inference. ICML (2017)
Ofer Dekel
Machine learning on the edge. TIML@ISCA (2017)
Tolga Bolukbasi, Joseph Wang, Ofer Dekel, Venkatesh Saligrama
Adaptive Neural Networks for Fast Test-Time Prediction. CoRR (2017)
Ofer Dekel, Arthur Flajolet, Nika Haghtalab, Patrick Jaillet
Online Learning with a Hint. NIPS (2017)
Ofer Dekel
Linear Learning with Sparse Data. CoRR (2016)
Ofer Dekel, Ronen Eldan, Tomer Koren
Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff. NIPS (2015)
Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel, Tomer Koren
Online Learning with Feedback Graphs: Beyond Bandits. COLT (2015)
Sébastien Bubeck, Ofer Dekel, Tomer Koren, Yuval Peres
Bandit Convex Optimization: \(\sqrt{T}\) Regret in One Dimension. COLT (2015)
Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel, Tomer Koren
Online Learning with Feedback Graphs: Beyond Bandits. CoRR (2015)
Sébastien Bubeck, Ofer Dekel, Tomer Koren, Yuval Peres
Bandit Convex Optimization: sqrt{T} Regret in One Dimension. CoRR (2015)
Ofer Dekel, Elad Hazan, Tomer Koren
The Blinded Bandit: Learning with Adaptive Feedback. NIPS (2014)
Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
regret. STOC (2014)
Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
Online Learning with Composite Loss Functions. CoRR (2014)
Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
Online Learning with Composite Loss Functions. COLT (2014)
Nicolò Cesa-Bianchi, Ofer Dekel, Ohad Shamir
Online Learning with Switching Costs and Other Adaptive Adversaries CoRR (2013)
Ofer Dekel, Jian Ding, Tomer Koren, Yuval Peres
Bandits with Switching Costs: T^{2/3} Regret. CoRR (2013)
Nicolò Cesa-Bianchi, Ofer Dekel, Ohad Shamir
Online Learning with Switching Costs and Other Adaptive Adversaries. NIPS (2013)
Ofer Dekel, Elad Hazan
Better Rates for Any Adversarial Deterministic MDP. ICML (3) (2013)
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
Optimal Distributed Online Prediction Using Mini-Batches. J. Mach. Learn. Res. 13 (2012)
Ofer Dekel, Ohad Shamir
There's a Hole in My Data Space: Piecewise Predictors for Heterogeneous Learning Problems. AISTATS (2012)
Raman Arora, Ofer Dekel, Ambuj Tewari
Deterministic MDPs with Adversarial Rewards and Bandit Feedback. UAI (2012)
Ofer Dekel, Ambuj Tewari, Raman Arora
Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret. ICML (2012)
Ofer Dekel, Claudio Gentile, Karthik Sridharan
Selective sampling and active learning from single and multiple teachers. J. Mach. Learn. Res. 13 (2012)
Raman Arora, Ofer Dekel, Ambuj Tewari
Deterministic MDPs with Adversarial Rewards and Bandit Feedback CoRR (2012)
Daniel Vainsencher, Ofer Dekel, Shie Mannor
Bundle Selling by Online Estimation of Valuation Functions. ICML (2011)
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
Optimal Distributed Online Prediction. ICML (2011)
Alekh Agarwal, Ofer Dekel, Lin Xiao
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. COLT (2010)
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
Optimal Distributed Online Prediction using Mini-Batches CoRR (2010)
Ofer Dekel, Claudio Gentile, Karthik Sridharan
Robust Selective Sampling from Single and Multiple Teachers. COLT (2010)
Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
Incentive compatible regression learning. J. Comput. Syst. Sci. 76 (8) (2010)
Ofer Dekel, Ohad Shamir, Lin Xiao
Learning to classify with missing and corrupted features. Mach. Learn. 81 (2) (2010)
Ofer Dekel, Ohad Shamir
Multiclass-Multilabel Classification with More Classes than Examples. AISTATS (2010)
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, Lin Xiao
Robust Distributed Online Prediction CoRR (2010)
Ofer Dekel, Ohad Shamir
Vox Populi: Collecting High-Quality Labels from a Crowd. COLT (2009)
Ofer Dekel, Ohad Shamir
Good learners for evil teachers. ICML (2009)
Ofer Dekel
Distribution-Calibrated Hierarchical Classification. NIPS (2009)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
Individual sequence prediction using memory-efficient context trees. IEEE Trans. Inf. Theory 55 (11) (2009)
Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
Incentive compatible regression learning. SODA (2008)
Ofer Dekel, Ohad Shamir
Learning to classify with missing and corrupted features. ICML (2008)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
The Forgetron: A Kernel-Based Perceptron on a Budget. SIAM J. Comput. 37 (5) (2008)
Ofer Dekel
From Online to Batch Learning with Cutoff-Averaging. NIPS (2008)
Ofer Dekel, Felix A. Fischer, Ariel D. Procaccia
Incentive Compatible Regression Learning. Computational Social Systems and the Internet (2007)
Ofer Dekel, Philip M. Long, Yoram Singer
Online Learning of Multiple Tasks with a Shared Loss. J. Mach. Learn. Res. 8 (2007)
Yonatan Amit, Ofer Dekel, Yoram Singer
A Boosting Algorithm for Label Covering in Multilabel Problems. AISTATS (2007)
Ofer Dekel, Philip M. Long, Yoram Singer
Online Multitask Learning. COLT (2006)
Ofer Dekel, Yoram Singer
Support Vector Machines on a Budget. NIPS (2006)
Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer
Online Passive-Aggressive Algorithms. J. Mach. Learn. Res. 7 (2006)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
The Forgetron: A Kernel-Based Perceptron on a Fixed Budget. NIPS (2005)
Ofer Dekel, Yoram Singer
Data-Driven Online to Batch Conversions. NIPS (2005)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
Smooth epsiloon-Insensitive Regression by Loss Symmetrization. J. Mach. Learn. Res. 6 (2005)
Ofer Dekel, Joseph Keshet, Yoram Singer
An Online Algorithm for Hierarchical Phoneme Classification. MLMI (2004)
Ofer Dekel, Joseph Keshet, Yoram Singer
Large margin hierarchical classification. ICML (2004)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees. NIPS (2004)
Ofer Dekel, Shai Shalev-Shwartz, Yoram Singer
Smooth e-Intensive Regression by Loss Symmetrization. COLT (2003)
Ofer Dekel, Christopher D. Manning, Yoram Singer
Log-Linear Models for Label Ranking. NIPS (2003)
Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yoram Singer
Online Passive-Aggressive Algorithms. NIPS (2003)
Ofer Dekel, Yoram Singer
Multiclass Learning by Probabilistic Embeddings. NIPS (2002)