papers
Publications (12)
cs.LG2013
Bandits with Switching Costs: T^{2/3} Regret
Ofer Dekel, Jian Ding, Tomer Koren +1
cs.LG2012
Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret
Raman Arora, Ofer Dekel, Ambuj Tewari
cs.LG2015
Online Learning with Feedback Graphs: Beyond Bandits
Noga Alon, Nicolò Cesa-Bianchi, Ofer Dekel +1
cs.LG2014
Online Learning with Composite Loss Functions
Ofer Dekel, Jian Ding, Tomer Koren +1
cs.LG2013
Online Learning with Switching Costs and Other Adaptive Adversaries
Nicolo Cesa-Bianchi, Ofer Dekel, Ohad Shamir
cs.LG2015
Bandit Convex Optimization: sqrt{T} Regret in One Dimension
Sébastien Bubeck, Ofer Dekel, Tomer Koren +1
cs.LG2018
Learning SMaLL Predictors
Vikas K. Garg, Ofer Dekel, Lin Xiao
cs.LG2017
Adaptive Neural Networks for Efficient Inference
Tolga Bolukbasi, Joseph Wang, Ofer Dekel +1
cs.LG2010
Robust Distributed Online Prediction
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir +1
cs.LG2012
Optimal Distributed Online Prediction using Mini-Batches
Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir +1
cs.LG2017
Linear Learning with Sparse Data
Ofer Dekel
cs.GT2012
Deterministic MDPs with Adversarial Rewards and Bandit Feedback
Raman Arora, Ofer Dekel, Ambuj Tewari