3 citations · 5 across the 2 of their papers we have counts for
3 papers
cs.LG2017★ 3 cited
Online Learning with Many Experts
Alon Cohen, Shie Mannor
We study the problem of prediction with expert advice when the number of experts in question may be extremely large or even infinite. We devise an algorithm that obtains a tight re…
cs.LG2017★ 2 cited
Tight Bounds for Bandit Combinatorial Optimization
Alon Cohen, Tamir Hazan, Tomer Koren
We revisit the study of optimal regret rates in bandit combinatorial optimization---a fundamental framework for sequential decision making under uncertainty that abstracts numerous…
cs.LG2016
Online Learning with Feedback Graphs Without the Graphs
Alon Cohen, Tamir Hazan, Tomer Koren
We study an online learning framework introduced by Mannor and Shamir (2011) in which the feedback is specified by a graph, in a setting where the graph may vary from round to roun…