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Yishay Mansour
Researcher at Tel Aviv University
Publications - 546
Citations - 30407
Yishay Mansour is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Regret & Upper and lower bounds. The author has an hindex of 80, co-authored 511 publications receiving 26984 citations. Previous affiliations of Yishay Mansour include Technion – Israel Institute of Technology & IBM.
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Average reward reinforcement learning with unknown mixing times.
TL;DR: This work builds on ideas from Markov chain theory and derive sampling algorithms that do not require an upper bound on the mixing time and provides theoretical bounds on their sample-complexity and running time.
Proceedings ArticleDOI
Lower bounds for integer greatest common divisor computations
TL;DR: In this paper, an Omega lower bound on the depth of any computation tree with operations (+, -, /, mod, >) was proved, and a lower bound of O(log log n) was also proved.
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Predicting Counterfactuals from Large Historical Data and Small Randomized Trials
TL;DR: The authors proposed a discriminative framework for estimating the performance of a new treatment given a large dataset of the control condition and data from a small (and possibly unrepresentative) randomized trial comparing new and old treatments.
Book ChapterDOI
Learning and Domain Adaptation
TL;DR: This talk will overview some recent theoretical models and results regarding domain adaptation, based on joint works with Mehryar Mohri and Afshin Rostamizadeh.
Journal ArticleDOI
Bayesian Incentive-Compatible Bandit Exploration
TL;DR: This paper describes how self-interested individuals (“agents”) make decisions over time and utilize information revealed by other agents in the past and produce information that may help agent decisions in the future.