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Michal Feldman

Michal Feldman

D-Index & Metrics

Computer Science

D-Index
35
Citations
6775
World Ranking
11541
National Ranking
181

Overview

Michal Feldman is affiliated with Tel Aviv University in Israel. Their research spans several interconnected fields, primarily focusing on decision sciences, economics, econometrics, finance, and computer science. Within these broad areas, their work frequently touches upon management science and operations research, economics and econometrics, computer networks and communications, marketing, and computational theory and mathematics.

The main topics covered by Michal Feldman's research include:

  • Auction Theory and Applications
  • Game Theory and Voting Systems
  • Optimization and Search Problems
  • Economic theories and models
  • Game Theory and Applications
  • Consumer Market Behavior and Pricing
  • Law, Economics, and Judicial Systems

Their publication record comprises numerous papers with notable recent works such as:

  • On Maxsum Fair Cake Divisions (2021) - Proceedings of the AAAI Conference on Artificial Intelligence
  • Almost Full EFX Exists for Four Agents (2022) - Proceedings of the AAAI Conference on Artificial Intelligence
  • Prophet Matching with General Arrivals (2021) - Mathematics of Operations Research
  • (Almost Full) EFX Exists for Four Agents (and Beyond) (2021) - arXiv (Cornell University)
  • On Fair Division under Heterogeneous Matroid Constraints (2021) - Proceedings of the AAAI Conference on Artificial Intelligence

Michal Feldman has contributed substantially to academic literature, including at least one book published by Springer Science+Business Media titled Web and Internet Economics in 2022.

The scientist's collaborative network includes frequent co-authors such as Tomer Ezra, Nick Gravin, Alon Eden, Zhihao Gavin Tang, and Paul Dütting. These collaborations point to an interdisciplinary approach across economic theory, algorithmic game theory, and operations research.

Their work is commonly published in several venues with repeated contributions to:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Mathematics of Operations Research
  • Proceedings of the 23rd ACM Conference on Economics and Computation
  • Journal of Artificial Intelligence Research

Best Publications

  • Robust incentive techniques for peer-to-peer networks

    Michal Feldman;Kevin Lai;Ion Stoica;John Chuang

  • Free-riding and whitewashing in peer-to-peer systems

    M. Feldman;C. Papadimitriou;J. Chuang;I. Stoica

  • Overcoming free-riding behavior in peer-to-peer systems

    Michal Feldman;John Chuang

  • Peer-to-Peer Systems II

    M. Frans Kaashoek;Ion Stoica

  • Strong equilibrium in cost sharing connection games

    Amir Epstein;Michal Feldman;Yishay Mansour

  • Free-riding and whitewashing in peer-to-peer systems

    Michal Feldman;Christos Papadimitriou;John Chuang;Ion Stoica

  • Strong price of anarchy

    Nir Andelman;Michal Feldman;Yishay Mansour

  • Combinatorial auctions via posted prices

    Michal Feldman;Nick Gravin;Brendan Lucier

  • Prophet Inequalities Made Easy: Stochastic Optimization by Pricing Nonstochastic Inputs

    Paul Dütting;Michal Feldman;Thomas Kesselheim;Brendan Lucier

  • Simultaneous auctions are (almost) efficient

    Michal Feldman;Hu Fu;Nick Gravin;Brendan Lucier

  • A price-anticipating resource allocation mechanism for distributed shared clusters

    Michal Feldman;Kevin Lai;Li Zhang

  • Strategyproof Approximation of the Minimax on Networks

    Noga Alon;Noga Alon;Michal Feldman;Michal Feldman;Ariel D. Procaccia;Moshe Tennenholtz;Moshe Tennenholtz

  • A note on competitive diffusion through social networks

    Noga Alon;Michal Feldman;Ariel D. Procaccia;Moshe Tennenholtz

  • On Voting and Facility Location

    Michal Feldman;Amos Fiat;Iddan Golomb

  • Signaling schemes for revenue maximization

    Yuval Emek;Michal Feldman;Iftah Gamzu;Renato PaesLeme

  • Strong equilibrium in cost sharing connection games

    Amir Epstein;Michal Feldman;Yishay Mansour

  • On the approximability of Dodgson and Young elections

    Ioannis Caragiannis;Jason A. Covey;Michal Feldman;Christopher M. Homan

  • Ten millennia of hepatitis B virus evolution

    Arthur Kocher;Luka Papac;Rodrigo Barquera;Felix M. Key

  • Quantifying Disincentives in Peer-to-Peer Networks

    Michal Feldman;Kevin Lai;John Chuang;Ion Stoica

  • The Proportional-Share Allocation Market for Computational Resources

    M. Feldman;K. Lai;Li Zhang

  • Strategyproof facility location and the least squares objective

    Michal Feldman;Yoav Wilf

  • Mechanism design on discrete lines and cycles

    Elad Dokow;Michal Feldman;Reshef Meir;Ilan Nehama

  • Prophet Inequalities Made Easy: Stochastic Optimization by Pricing Non-Stochastic Inputs

    Paul Duetting;Michal Feldman;Thomas Kesselheim;Brendan Lucier

  • Combinatorial agency

    Moshe Babaioff;Michal Feldman;Noam Nisan

Frequent Co-Authors

Moshe Tennenholtz
Moshe Tennenholtz Technion – Israel Institute of Technology
Amos Fiat
Amos Fiat Tel Aviv University
Johannes Krause
Johannes Krause Max Planck Society
Noga Alon
Noga Alon Tel Aviv University
Wolfgang Haak
Wolfgang Haak Max Planck Society
Uriel Feige
Uriel Feige Weizmann Institute of Science
Yishay Mansour
Yishay Mansour Tel Aviv University
Noam Nisan
Noam Nisan Hebrew University of Jerusalem
John Chuang
John Chuang University of California, Berkeley
Ariel D. Procaccia
Ariel D. Procaccia Harvard University

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