2026 Yishay Mansour: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	86	766	740	14	12	430	32853

Research.com Recognitions

2014 - ACM Fellow For contributions to machine learning, algorithmic game theory, distributed computing, and communication networks.
1994 - IEEE Fellow For contributions to the understanding of voltage stability in large power system networks.

Overview

Yishay Mansour is affiliated with Tel Aviv University in Israel and has an extensive research portfolio primarily within computer science and decision sciences. Their work spans several subfields, including artificial intelligence, management science and operations research, computer networks and communications, molecular biology, and computational theory and mathematics.

The main topics covered in their research include advanced bandit algorithms, machine learning and algorithms, reinforcement learning in robotics, auction theory and applications, privacy-preserving technologies in data, cryptography and data security, and stochastic gradient optimization techniques.

Publication venues where Yishay Mansour frequently contributes are:

arXiv (Cornell University)
Proceedings of the AAAI Conference on Artificial Intelligence
Operations Research
Bioinformatics
Nature Communications

Frequent collaborators in Mansour's research include Haim Kaplan, Uri Stemmer, Tomer Koren, Tal Lancewicki, and Shay Moran.

Some of the recent papers authored or coauthored by Mansour include:

Three Approaches for Personalization with Applications to Federated Learning, 2020, arXiv (Cornell University)
Harnessing machine learning to guide phylogenetic-tree search algorithms, 2021, Nature Communications
Bayesian Exploration: Incentivizing Exploration in Bayesian Games, 2021, Operations Research
Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation, 2022, arXiv (Cornell University)
Quantification of Osteoclasts in Culture, Powered by Machine Learning, 2021, Frontiers in Cell and Developmental Biology

The research focuses strongly on machine learning methodologies, algorithmic game theory, distributed computing, communication networks, and applications spanning biology to operations research.

Yishay Mansour has been recognized by professional bodies as an ACM Fellow since 2014 for contributions to machine learning, algorithmic game theory, distributed computing, and communication networks. They were also awarded IEEE Fellow status in 1994 for contributions to understanding voltage stability in large power system networks.

Best Publications

Policy Gradient Methods for Reinforcement Learning with Function Approximation

Richard S Sutton;David A. McAllester;Satinder P. Singh;Yishay Mansour

6279
Citations
Learning decision trees using the Fourier spectrum

Eyal Kushilevitz;Yishay Mansour

1150
Citations
Constant depth circuits, Fourier transform, and learnability

Nathan Linial;Yishay Mansour;Noam Nisan

1024
Citations
A Sparse Sampling Algorithm for Near-Optimal Planning in Large Markov Decision Processes

Michael Kearns;Yishay Mansour;Andrew Y. Ng

906
Citations
Domain adaptation: Learning bounds and algorithms

Yishay Mansour;Mehryar Mohri;Afshin Rostamizadeh

605
Citations
Action Elimination and Stopping Conditions for the Multi-Armed Bandit and Reinforcement Learning Problems

Eyal Even-Dar;Shie Mannor;Yishay Mansour

548
Citations
The shrinking generator

Don Coppersmith;Hugo Krawczyk;Yishay Mansour

537
Citations
On the Boosting Ability of Top-Down Decision Tree Learning Algorithms

Michael Kearns;Yishay Mansour

493
Citations
Domain Adaptation with Multiple Sources

Yishay Mansour;Mehryar Mohri;Afshin Rostamizadeh

488
Citations
A construction of a cipher from a single pseudorandom permutation

Shimon Even;Yishay Mansour

485
Citations
PAC Bounds for Multi-armed Bandit and Markov Decision Processes

Eyal Even-Dar;Shie Mannor;Yishay Mansour

441
Citations
An $\Omega(D\log (N/D))$ Lower Bound for Broadcast in Radio Networks

Eyal Kushilevitz;Yishay Mansour

410
Citations
Implementing the "wisdom of the crowd"

Ilan Kremer;Yishay Mansour;Motty Perry

394
Citations
The computational complexity of universal hashing

Yishay Mansour;Noam Nisan;Prasoon Tiwari

392
Citations
Three Approaches for Personalization with Applications to Federated Learning.

Yishay Mansour;Mehryar Mohri;Jae Ro;Ananda Theertha Suresh

368
Citations
Buffer Overflow Management in QoS Switches

Alexander Kesselman;Zvi Lotker;Yishay Mansour;Boaz Patt-Shamir

361
Citations
Nash convergence of gradient dynamics in general-sum games

Satinder P. Singh;Michael J. Kearns;Yishay Mansour

359
Citations
Learning Rates for Q-learning

Eyal Even-Dar;Yishay Mansour

350
Citations
Regret Minimization for Reserve Prices in Second-Price Auctions

Nicolò Cesa-Bianchi;Claudio Gentile;Yishay Mansour

346
Citations
On the learnability of discrete distributions

Michael Kearns;Yishay Mansour;Dana Ron;Ronitt Rubinfeld

322
Citations
Learning Bounds for Importance Weighting

Corinna Cortes;Yishay Mansour;Mehryar Mohri

286
Citations

Frequent Co-Authors

Haim Kaplan Tel Aviv University

Avrim Blum Toyota Technological Institute at Chicago

Michael Kearns University of Pennsylvania

Avinatan Hassidim Bar-Ilan University

Boaz Patt-Shamir Tel Aviv University

Baruch Schieber New Jersey Institute of Technology

Nicolò Cesa-Bianchi University of Milan

Shay Kutten Technion – Israel Institute of Technology

Noam Nisan Hebrew University of Jerusalem

Eyal Kushilevitz Technion – Israel Institute of Technology

External Links

Personal website of Yishay Mansour Google Scholar page

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