World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5847
World Ranking
8952
National Ranking
550

Overview

Yoram Bachrach is affiliated with DeepMind in the United Kingdom. Their research spans multiple interconnected fields within computer science, with a primary focus on artificial intelligence, management science and operations research, economics and econometrics, safety research, and sociology and political science.

Their work addresses a range of specialized topics, including experimental behavioral economics studies, reinforcement learning in robotics, sports analytics and performance, evolutionary game theory and cooperation, auction theory and applications, artificial intelligence in games, and game theory and applications.

Yoram Bachrach's publication record includes several recent papers:

  • "Cooperative AI: machines must learn to find common ground," 2021, Nature
  • "Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians," 2023, Nature Medicine
  • "Crowd IQ -- Aggregating Opinions to Boost Performance," 2024, arXiv (Cornell University)
  • "TacticAI: an AI assistant for football tactics," 2024, Nature Communications
  • "Negotiating team formation using deep reinforcement learning," 2020, Artificial Intelligence

The scientist has collaborated frequently with several co-authors, including Ian Gemp, Marc Lanctot, Richard Everett, Andrea Tacchetti, and Kate Larson.

Their research outputs have been published most commonly in arXiv (Cornell University), as well as the Proceedings of the AAAI Conference on Artificial Intelligence, Nature Communications, Nature, and Nature Medicine.

Yoram Bachrach's profile reflects extensive engagement with the fields of artificial intelligence and its applications to economics, game theory, and behavioral studies. Their contributions also span the development of algorithms and methods in reinforcement learning and applied AI in domains such as sports analytics and healthcare-related decision-making processes.

Best Publications

  • Personality and patterns of Facebook usage

    Yoram Bachrach;Michal Kosinski;Thore Graepel;Pushmeet Kohli

  • Manifestations of user personality in website choice and behaviour on online social networks

    Michal Kosinski;Yoram Bachrach;Pushmeet Kohli;David Stillwell

  • Bitcoin Mining Pools: A Cooperative Game Theoretic Analysis

    Yoad Lewenberg;Yoram Bachrach;Yonatan Sompolinsky;Aviv Zohar

  • Studying User Income through Language, Behaviour and Affect in Social Media

    Daniel Preoţiuc-Pietro;Svitlana Volkova;Vasileios Lampos;Yoram Bachrach

  • How To Grade a Test Without Knowing the Answers --- A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing

    Yoram Bachrach;Thore Graepel;Tom Minka;John Guiver

  • Cooperative AI: machines must learn to find common ground

    Allan Dafoe;Yoram Bachrach;Gillian Hadfield;Eric Horvitz

  • Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces

    Yoram Bachrach;Yehuda Finkelstein;Ran Gilad-Bachrach;Liran Katzir

  • Inferring latent user properties from texts published in social media

    Svitlana Volkova;Yoram Bachrach;Michael Armstrong;Vijay Sharma

  • Approximating power indices: theoretical and empirical analysis

    Yoram Bachrach;Evangelos Markakis;Ezra Resnick;Ariel D. Procaccia

  • The Cost of Stability in Coalitional Games

    Yoram Bachrach;Edith Elkind;Reshef Meir;Dmitrii Pasechnik

  • Coalitional skill games

    Yoram Bachrach;Jeffrey S. Rosenschein

  • Manipulating the quota in weighted voting games

    Michael Zuckerman;Piotr Faliszewski;Yoram Bachrach;Edith Elkind

  • On Predicting Sociodemographic Traits and Emotions from Communications in Social Networks and Their Implications to Online Self-Disclosure.

    Svitlana Volkova;Yoram Bachrach

  • Dwelling on the Negative: Incentivizing Effort in Peer Prediction

    Jens Witkowski;Yoram Bachrach;Peter Key;David Christopher Parkes

  • Crowd IQ: measuring the intelligence of crowdsourcing platforms

    Michal Kosinski;Yoram Bachrach;Gjergji Kasneci;Jurgen Van-Gael

  • Power in threshold network flow games

    Yoram Bachrach;Jeffrey S. Rosenschein

  • Probabilistic possible winner determination

    Yoram Bachrach;Nadja Betzler;Piotr Faliszewski

  • Optimal coalition structure generation in cooperative graph games

    Yoram Bachrach;Pushmeet Kohli;Vladimir Kolmogorov;Morteza Zadimoghaddam

  • Crowd IQ: aggregating opinions to boost performance

    Yoram Bachrach;Thore Graepel;Gjergji Kasneci;Michal Kosinski

  • Gossip-based aggregation of trust in decentralized reputation systems

    Ariel D. Procaccia;Yoram Bachrach;Jeffrey S. Rosenschein

  • Open-ended learning in symmetric zero-sum games

    David Balduzzi;Marta Garnelo;Yoram Bachrach;Wojciech M. Czarnecki

  • Open Problems in Cooperative AI

    Allan Dafoe;Edward Hughes;Yoram Bachrach;Tantum Collins

Frequent Co-Authors

Jeffrey S. Rosenschein
Jeffrey S. Rosenschein Hebrew University of Jerusalem
Thore Graepel
Thore Graepel University College London
Peter Key
Peter Key Microsoft (United States)
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
Ely Porat
Ely Porat Bar-Ilan University
Edith Elkind
Edith Elkind University of Oxford
Milan Vojnovic
Milan Vojnovic London School of Economics and Political Science
Michal Kosinski
Michal Kosinski Stanford University
Joel Z. Leibo
Joel Z. Leibo DeepMind (United Kingdom)

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