Bachrach, Yoram

48 publications

TMLR 2026 Bootstrapping Task Spaces for Self-Improvement Minqi Jiang, Andrei Lupu, Yoram Bachrach

NeurIPS 2025 AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-Bench Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Rishi Hazra, Nicolas Baldwin, Alexis Audran-Reiss, Michael Kuchnik, Despoina Magka, Minqi Jiang, Alisia Maria Lupidi, Andrei Lupu, Roberta Raileanu, Tatiana Shavrina, Kelvin Niu, Jean-Christophe Gagnon-Audet, Michael Shvartsman, Shagun Sodhani, Alexander H Miller, Abhishek Charnalia, Derek Dunfield, Carole-Jean Wu, Pontus Stenetorp, Nicola Cancedda, Jakob Nicolaus Foerster, Yoram Bachrach

IJCAI 2025 Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games Yoram Bachrach, Edan Toledo, Karen Hambardzumyan, Despoina Magka, Martin Josifoski, Minqi Jiang, Jakob N. Foerster, Roberta Raileanu, Tatiana Shavrina, Nicola Cancedda, Avraham Ruderman, Katie Millican, Andrei Lupu, Rishi Hazra

IJCAI 2025 Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman

NeurIPS 2025 The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements Bingchen Zhao, Despoina Magka, Minqi Jiang, Xian Li, Roberta Raileanu, Tatiana Shavrina, Jean-Christophe Gagnon-Audet, Kelvin Niu, Shagun Sodhani, Michael Shvartsman, Andrei Lupu, Alisia Maria Lupidi, Karen Hambardzumyan, Martin Josifoski, Edan Toledo, Thomas Foster, Lucia Cipolina-Kun, Derek Dunfield, Abhishek Charnalia, Alexander H Miller, Oisin Mac Aodha, Jakob Nicolaus Foerster, Yoram Bachrach

ICMLW 2024 Steering Language Models with Game-Theoretic Solvers Ian Gemp, Roma Patel, Yoram Bachrach, Marc Lanctot, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls

NeurIPS 2023 Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples Marco Jiralerspong, Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel

ICLRW 2022 Learning Truthful, Efficient, and Welfare Maximizing Auction Rules Andrea Tacchetti, Dj Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach

NeurIPS 2022 Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members Daphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman

AAAI 2022 Role of Human-AI Interaction in Selective Prediction Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham

AISTATS 2021 A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying About Mixed-Nash and Love Neural Nets Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach

IJCAI 2021 A Neural Network Auction for Group Decision Making over a Continuous Space Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel

JAIR 2021 Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning Justin Fu, Andrea Tacchetti, Julien Pérolat, Yoram Bachrach

NeurIPS 2020 Learning to Play No-Press Diplomacy with Best Response Policy Iteration Thomas Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas Hudson, Nicolas Porcel, Marc Lanctot, Julien Perolat, Richard Everett, Satinder P. Singh, Thore Graepel, Yoram Bachrach

NeurIPS 2019 Biases for Emergent Communication in Multi-Agent Reinforcement Learning Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel

ICML 2019 Open-Ended Learning in Symmetric Zero-Sum Games David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Perolat, Max Jaderberg, Thore Graepel

JAIR 2018 Bounds on the Cost of Stabilizing a Cooperative Game Yoram Bachrach, Edith Elkind, Enrico Malizia, Reshef Meir, Dmitrii V. Pasechnik, Jeffrey S. Rosenschein, Jörg Rothe, Michael Zuckerman

ICLR 2017 Batch Policy Gradient Methods for Improving Neural Conversation Models Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter

IJCAI 2017 How to Form Winning Coalitions in Mixed Human-Computer Settings Yair Zick, Kobi Gal, Yoram Bachrach, Moshe Mash

AAAI 2017 Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein

IJCAI 2016 A Characterization of Voting Power for Discrete Weight Distributions Yoram Bachrach, Yuval Filmus, Joel Oren, Yair Zick

IJCAI 2016 Misrepresentation in District Voting Yoram Bachrach, Omer Lev, Yoad Lewenberg, Yair Zick

UAI 2016 Political Dimensionality Estimation Using a Probabilistic Graphical Model Yoad Lewenberg, Yoram Bachrach, Lucas Bordeaux, Pushmeet Kohli

AAAI 2016 Predicting Gaming Related Properties from Twitter Accounts Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam

AAAI 2016 Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi

IJCAI 2016 Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi

UAI 2016 Training Neural Nets to Aggregate Crowdsourced Responses Alex Gaunt, Diana Borsa, Yoram Bachrach

AAAI 2016 Using Convolutional Neural Networks to Analyze Function Properties from Images Yoad Lewenberg, Yoram Bachrach, Ian A. Kash, Peter B. Key

AAAI 2015 Inferring Latent User Properties from Texts Published in Social Media Svitlana Volkova, Yoram Bachrach, Michael Armstrong, Vijay Sharma

IJCAI 2015 Non-Myopic Negotiators See What's Best Yair Zick, Yoram Bachrach, Ian A. Kash, Peter B. Key

MLJ 2014 Manifestations of User Personality in Website Choice and Behaviour on Online Social Networks Michal Kosinski, Yoram Bachrach, Pushmeet Kohli, David Stillwell, Thore Graepel

ECML-PKDD 2014 Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model Bar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop

IJCAI 2013 Agent Failures in All-Pay Auctions Yoad Lewenberg, Omer Lev, Yoram Bachrach, Jeffrey S. Rosenschein

AAAI 2013 Hotspotting - A Probabilistic Graphical Model for Image Object Localization Through Crowdsourcing Mahyar Salek, Yoram Bachrach, Peter B. Key

AAAI 2013 Optimal Coalition Structure Generation in Cooperative Graph Games Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam

JAIR 2013 Sharing Rewards in Cooperative Connectivity Games Yoram Bachrach, Ely Porat, Jeffrey S. Rosenschein

AAAI 2012 Congestion Games with Agent Failures Reshef Meir, Moshe Tennenholtz, Yoram Bachrach, Peter B. Key

ICML 2012 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

AAAI 2012 Quality Expectation-Variance Tradeoffs in Crowdsourcing Contests Xi Alice Gao, Yoram Bachrach, Peter B. Key, Thore Graepel

IJCAI 2011 Coalitional Voting Manipulation: A Game-Theoretic Perspective Yoram Bachrach, Edith Elkind, Piotr Faliszewski

JAIR 2011 False-Name Manipulations in Weighted Voting Games Haris Aziz, Yoram Bachrach, Edith Elkind, Mike Paterson

UAI 2011 Solving Cooperative Reliability Games Yoram Bachrach, Reshef Meir, Michal Feldman, Moshe Tennenholtz

AAAI 2010 Coalitional Structure Generation in Skill Games Yoram Bachrach, Reshef Meir, Kyomin Jung, Pushmeet Kohli

AAAI 2010 Probabilistic Possible Winner Determination Yoram Bachrach, Nadja Betzler, Piotr Faliszewski

IJCAI 2009 Sketching Techniques for Collaborative Filtering Yoram Bachrach, Ely Porat, Jeffrey S. Rosenschein

AAAI 2008 Manipulating the Quota in Weighted Voting Games Michael Zuckerman, Piotr Faliszewski, Yoram Bachrach, Edith Elkind

IJCAI 2007 Gossip-Based Aggregation of Trust in Decentralized Reputation Systems Ariel D. Procaccia, Yoram Bachrach, Jeffrey S. Rosenschein

IJCAI 2005 Achieving Allocatively-Efficient and Strongly Budget-Balanced Mechanisms in the Network Flow Domain for Bounded-Rational Agents Yoram Bachrach, Jeffrey S. Rosenschein