Achieving Allocatively-Efficient and Strongly Budget-Balanced Mechanisms in the Network Flow Domain for Bounded-Rational Agents. - Yoram Bachrach; Jeffrey S. Rosenschein (AMEC@AAMAS/TADA@IJCAI, 2005)

Computing the Banzhaf power index in network flow games. - Yoram Bachrach; Jeffrey S. Rosenschein (AAMAS, 2007)

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

Divide and conquer: false-name manipulations in weighted voting games. - Yoram Bachrach; Edith Elkind (AAMAS (2), 2008)

Approximating power indices. - Yoram Bachrach; Evangelos Markakis; Ariel D. Procaccia; Jeffrey S. Rosenschein; Amin Saberi (AAMAS (2), 2008)

Coalitional skill games. - Yoram Bachrach; Jeffrey S. Rosenschein (AAMAS (2), 2008)

Distributed multiagent resource allocation in diminishing marginal return domains. - Yoram Bachrach; Jeffrey S. Rosenschein (AAMAS (2), 2008)

Incentives in effort games. - Yoram Bachrach; Jeffrey S. Rosenschein (AAMAS (3), 2008)

Power and stability in connectivity games. - Yoram Bachrach; Jeffrey S. Rosenschein; Ely Porat (AAMAS (2), 2008)

Computational aspects of power and stability in cooperative domains (עם תקציר בעברית, תכן ושער נוסף: היבטים חישוביים של כוח ויציבות בסביבות שיתופיות.). - Yoram Bachrach (2008)

The cost of stability in weighted voting games. - Yoram Bachrach; Reshef Meir; Michael Zuckerman; Jörg Rothe; Jeffrey S. Rosenschein (AAMAS (2), 2009)

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

The Cost of Stability in Network Flow Games. - Ezra Resnick; Yoram Bachrach; Reshef Meir; Jeffrey S. Rosenschein (MFCS, 2009)

The Cost of Stability in Coalitional Games. - Yoram Bachrach; Edith Elkind; Reshef Meir; Dmitrii V. Pasechnik; Michael Zuckerman; Jörg Rothe; Jeffrey S. Rosenschein (SAGT, 2009)

Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems. - Yoram Bachrach; Ralf Herbrich; Ely Porat (SPIRE, 2009)

Gossip-based aggregation of trust in decentralized reputation systems. - Yoram Bachrach; Ariel Parnes; Ariel D. Procaccia; Jeffrey S. Rosenschein (Auton. Agents Multi Agent Syst., 2009)

Power in threshold network flow games. - Yoram Bachrach; Jeffrey S. Rosenschein (Auton. Agents Multi Agent Syst., 2009)

Effort Games and the Price of Myopia. - Yoram Bachrach; Michael Zuckerman; Jeffrey S. Rosenschein (Math. Log. Q., 2009)

Probabilistic Possible Winner Determination. - Yoram Bachrach; Nadja Betzler; Piotr Faliszewski (AAAI, 2010)

Coalitional Structure Generation in Skill Games. - Yoram Bachrach; Reshef Meir; Kyomin Jung; Pushmeet Kohli (AAAI, 2010)

Honor among thieves: collusion in multi-unit auctions. - Yoram Bachrach (AAMAS, 2010)

Path disruption games. - Yoram Bachrach; Ely Porat (AAMAS, 2010)

Minimal Subsidies in Expense Sharing Games. - Reshef Meir; Yoram Bachrach; Jeffrey S. Rosenschein (SAGT, 2010)

Fingerprinting Ratings for Collaborative Filtering - Theoretical and Empirical Analysis. - Yoram Bachrach; Ralf Herbrich (SPIRE, 2010)

Collusion in VCG Path Procurement Auctions. - Yoram Bachrach; Peter B. Key; Morteza Zadimoghaddam (WINE, 2010)

The Good, The Bad and The Cautious: Safety Level Cooperative Games. - Yoram Bachrach; Maria Polukarov; Nicholas R. Jennings (WINE, 2010)

Approximating power indices: theoretical and empirical analysis. - Yoram Bachrach; Evangelos Markakis; Ezra Resnick; Ariel D. Procaccia; Jeffrey S. Rosenschein; Amin Saberi (Auton. Agents Multi Agent Syst., 2010)

Fast Pseudo-Random Fingerprints - Yoram Bachrach; Ely Porat (CoRR, 2010)

Rip-off: playing the cooperative negotiation game. - Yoram Bachrach; Pushmeet Kohli; Thore Graepel (AAMAS, 2011)

Team coverage games. - Yoram Bachrach; Pushmeet Kohli; Vladimir Kolmogorov (AAMAS, 2011)

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

The Least-Core of Threshold Network Flow Games. - Yoram Bachrach (MFCS, 2011)

Solving Cooperative Reliability Games. - Yoram Bachrach; Reshef Meir; Michal Feldman; Moshe Tennenholtz (UAI, 2011)

Optimal Coalition Structures in Graph Games - Yoram Bachrach; Pushmeet Kohli; Vladimir Kolmogorov; Morteza Zadimoghaddam (CoRR, 2011)

False-Name Manipulations in Weighted Voting Games. - Haris Aziz 001; Yoram Bachrach; Edith Elkind; Mike Paterson (J. Artif. Intell. Res., 2011)

A cooperative approach to collusion in auctions. - Yoram Bachrach; Morteza Zadimoghaddam; Peter B. Key (SIGecom Exch., 2011)

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

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

Crowd IQ: aggregating opinions to boost performance. - Yoram Bachrach; Thore Graepel; Gjergji Kasneci; Michal Kosinski; Jurgen Van Gael (AAMAS, 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 (ICML, 2012)

Personality and patterns of Facebook usage. - Yoram Bachrach; Michal Kosinski; Thore Graepel; Pushmeet Kohli; David Stillwell (WebSci, 2012)

Colonel Blotto on Facebook: the effect of social relations on strategic interaction. - Pushmeet Kohli; Michael J. Kearns; Yoram Bachrach; Ralf Herbrich; David Stillwell; Thore Graepel (WebSci, 2012)

Crowd IQ: measuring the intelligence of crowdsourcing platforms. - Michal Kosinski; Yoram Bachrach; Gjergji Kasneci; Jurgen Van Gael; Thore Graepel (WebSci, 2012)

Agent Failures in Totally Balanced Games and Convex Games. - Yoram Bachrach; Ian A. Kash; Nisarg Shah 001 (WINE, 2012)

Manipulating the quota in weighted voting games. - Michael Zuckerman; Piotr Faliszewski; Yoram Bachrach; Edith Elkind (Artif. Intell., 2012)

Optimal Coalition Structure Generation in Cooperative Graph Games. - Yoram Bachrach; Pushmeet Kohli; Vladimir Kolmogorov; Morteza Zadimoghaddam (AAAI, 2013)

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

Contagion and observability in security domains. - Yoram Bachrach; Moez Draief; Sanjeev Goyal (Allerton, 2013)

Mergers and collusion in all-pay auctions and crowdsourcing contests. - Omer Lev; Maria Polukarov; Yoram Bachrach; Jeffrey S. Rosenschein (AAMAS, 2013)

Dwelling on the Negative: Incentivizing Effort in Peer Prediction. - Jens Witkowski; Yoram Bachrach; Peter B. Key; David C. Parkes (HCOMP, 2013)

Sketching for Big Data Recommender Systems Using Fast Pseudo-random Fingerprints. - Yoram Bachrach; Ely Porat (ICALP (2), 2013)

Reliability Weighted Voting Games. - Yoram Bachrach; Nisarg Shah 001 (SAGT, 2013)

Incentives and Efficiency in Uncertain Collaborative Environments. - Yoram Bachrach; Vasilis Syrgkanis; Milan Vojnovic (WINE, 2013)

Computing cooperative solution concepts in coalitional skill games. - Yoram Bachrach; David C. Parkes; Jeffrey S. Rosenschein (Artif. Intell., 2013)

Proof systems and transformation games. - Yoram Bachrach; Michael Zuckerman; Michael J. Wooldridge; Jeffrey S. Rosenschein (Ann. Math. Artif. Intell., 2013)

Strong Price of Anarchy and Coalitional Dynamics. - Yoram Bachrach; Vasilis Syrgkanis; Éva Tardos; Milan Vojnovic (CoRR, 2013)

Sharing Rewards in Cooperative Connectivity Games. - Yoram Bachrach; Ely Porat; Jeffrey S. Rosenschein (J. Artif. Intell. Res., 2013)

Building a personalized tourist attraction recommender system using crowdsourcing. - Yoram Bachrach; Sofia Ceppi; Ian A. Kash; Peter B. Key; Filip Radlinski; Ely Porat; Michael Armstrong; Vijay Sharma (AAMAS, 2014)

Your digital image: factors behind demographic and psychometric predictions from social network profiles. - Yoram Bachrach; Thore Graepel; Pushmeet Kohli; Michal Kosinski; David Stillwell (AAMAS, 2014)

Cooperative weakest link games. - Yoram Bachrach; Omer Lev; Shachar Lovett; Jeffrey S. Rosenschein; Morteza Zadimoghaddam (AAMAS, 2014)

Cooperative max games and agent failures. - Yoram Bachrach; Rahul Savani; Nisarg Shah 001 (AAMAS, 2014)

The shared assignment game and applications to pricing in cloud computing. - Gideon Blocq; Yoram Bachrach; Peter B. Key (AAMAS, 2014)

The cost of principles: analyzing power in compatibility weighted voting games. - Abigail See; Yoram Bachrach; Pushmeet Kohli (AAMAS, 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 (ECML/PKDD (3), 2014)

Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces. - Yoram Bachrach; Yehuda Finkelstein; Ran Gilad-Bachrach; Liran Katzir 001; Noam Koenigstein; Nir Nice; Ulrich Paquet (RecSys, 2014)

Strong Price of Anarchy, Utility Games and Coalitional Dynamics. - Yoram Bachrach; Vasilis Syrgkanis; Éva Tardos; Milan Vojnovic (SAGT, 2014)

Optimising trade-offs among stakeholders in ad auctions. - Yoram Bachrach; Sofia Ceppi; Ian A. Kash; Peter B. Key; David Kurokawa (EC, 2014)

Power Distribution in Randomized Weighted Voting: the Effects of the Quota. - Joel Oren; Yuval Filmus; Yair Zick; Yoram Bachrach (CoRR, 2014)

Manifestations of user personality in website choice and behaviour on online social networks. - Michal Kosinski; Yoram Bachrach; Pushmeet Kohli; David Stillwell; Thore Graepel (Mach. Learn., 2014)

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

Bitcoin Mining Pools: A Cooperative Game Theoretic Analysis. - Yoad Lewenberg; Yoram Bachrach; Yonatan Sompolinsky; Aviv Zohar; Jeffrey S. Rosenschein (AAMAS, 2015)

Human judgments in hiring decisions based on online social network profiles. - Yoram Bachrach (DSAA, 2015)

Using emotions to predict user interest areas in online social networks. - Yoad Lewenberg; Yoram Bachrach; Svitlana Volkova (DSAA, 2015)

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

Social Media Predictive Analytics. - Svitlana Volkova; Benjamin Van Durme; David Yarowsky; Yoram Bachrach (HLT-NAACL, 2015)

On Predicting Sociodemographic Traits and Emotions from Communications in Social Networks and Their Implications to Online Self-Disclosure. - Svitlana Volkova; Yoram Bachrach (Cyberpsychology Behav. Soc. Netw., 2015)

Fingerprints for highly similar streams. - Yoram Bachrach; Ely Porat (Inf. Comput., 2015)

Predicting Gaming Related Properties from Twitter Accounts. - Maria Ivanova Gorinova 001; Yoad Lewenberg; Yoram Bachrach; Alfredo Kalaitzis; Michael Fagan 002; Dean Carignan; Nitin Gautam (AAAI, 2016)

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

Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast. - Svitlana Volkova; Yoram Bachrach (ACL (1), 2016)

Tracking Performance and Forming Study Groups for Prep Courses Using Probabilistic Graphical Models: (Extended Abstract). - Yoram Bachrach; Yoad Lewenberg; Jeffrey S. Rosenschein; Yair Zick (AAMAS, 2016)

Predicting Gaming Related Properties from Twitter Profiles. - Alfredo Kalaitzis; Maria Ivanova Gorinova 001; Yoad Lewenberg; Yoram Bachrach; Michael Fagan 002; Dean Carignan; Nitin Gautam (BigDataService, 2016)

Mining User Interests to Predict Perceived Psycho-Demographic Traits on Twitter. - Svitlana Volkova; Yoram Bachrach; Benjamin Van Durme (BigDataService, 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 (IJCAI, 2016)

Training Neural Nets to Aggregate Crowdsourced Responses. - Alex Gaunt; Diana Borsa; Yoram Bachrach (UAI, 2016)

Political Dimensionality Estimation Using a Probabilistic Graphical Model. - Yoad Lewenberg; Yoram Bachrach; Lucas Bordeaux; Pushmeet Kohli (UAI, 2016)

Mechanism Design for Mixed Bidders. - Yoram Bachrach; Sofia Ceppi; Ian A. Kash; Peter B. Key; Mohammad Reza Khani (WWW, 2016)

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

Batch Policy Gradient Methods for Improving Neural Conversation Models. - Kirthevasan Kandasamy; Yoram Bachrach; Ryota Tomioka; Daniel Tarlow; David Carter (ICLR (Poster), 2017)

An Attention Mechanism for Neural Answer Selection Using a Combined Global and Local View. - Yoram Bachrach; Andrej Zukov Gregoric; Sam Coope; Ed Tovell; Bogdan Maksak; José Rodríguez; Conan McMurtie; Mahyar Bordbar (ICTAI, 2017)

Neural Named Entity Recognition Using a Self-Attention Mechanism. - Andrej Zukov Gregoric; Yoram Bachrach; Pasha Minkovsky; Sam Coope; Bogdan Maksak (ICTAI, 2017)

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

An Attention Mechanism for Answer Selection Using a Combined Global and Local View. - Yoram Bachrach; Andrej Zukov Gregoric; Sam Coope; Ed Tovell; Bogdan Maksak; José Rodríguez; Conan McMurtie (CoRR, 2017)

Agent Failures in All-Pay Auctions. - Yoad Lewenberg; Omer Lev; Yoram Bachrach; Jeffrey S. Rosenschein (IEEE Intell. Syst., 2017)

Named Entity Recognition With Parallel Recurrent Neural Networks. - Andrej Zukov Gregoric; Yoram Bachrach; Sam Coope (ACL (2), 2018)

A Neural Architecture for Multi-label Text Classification. - Sam Coope; Yoram Bachrach; Andrej Zukov Gregoric; José Rodríguez; Bogdan Maksak; Conan McMurtie; Mahyar Bordbar (IntelliSys (1), 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 (J. Artif. Intell. Res., 2018)

The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution. - Dylan Banarse; Yoram Bachrach; Siqi Liu 002; Guy Lever; Nicolas Heess; Chrisantha Fernando; Pushmeet Kohli; Thore Graepel (AAMAS, 2019)

Computing Stable Solutions in Threshold Network Flow Games With Bounded Treewidth. - Aldo Pacchiano; Yoram Bachrach (AAMAS, 2019)

Open-ended learning in symmetric zero-sum games. - David Balduzzi; Marta Garnelo; Yoram Bachrach; Wojciech Czarnecki 001; Julien Pérolat; Max Jaderberg; Thore Graepel (ICML, 2019)

Biases for Emergent Communication in Multi-agent Reinforcement Learning. - Tom Eccles; Yoram Bachrach; Guy Lever; Angeliki Lazaridou; Thore Graepel (NeurIPS, 2019)

Strategic behavior and learning in all-pay auctions: an empirical study using crowdsourced data. - Yoram Bachrach; Ian A. Kash; Peter B. Key; Joel Oren (Auton. Agents Multi Agent Syst., 2019)

A Neural Architecture for Designing Truthful and Efficient Auctions. - Andrea Tacchetti; DJ Strouse; Marta Garnelo; Thore Graepel; Yoram Bachrach (CoRR, 2019)

Analyzing Power in Weighted Voting Games with Super-Increasing Weights. - Yuval Filmus; Joel Oren; Yair Zick; Yoram Bachrach (Theory Comput. Syst., 2019)

Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. - Edward Hughes 001; Thomas W. Anthony 001; Tom Eccles; Joel Z. Leibo; David Balduzzi; Yoram Bachrach (AAMAS, 2020)

Learning to Play No-Press Diplomacy with Best Response Policy Iteration. - Thomas W. Anthony 001; Tom Eccles; Andrea Tacchetti; János Kramár; Ian Gemp; Thomas C. Hudson; Nicolas Porcel; Marc Lanctot; Julien Pérolat; Richard Everett 001; Satinder Singh 001; Thore Graepel; et al. (NeurIPS, 2020)

Negotiating team formation using deep reinforcement learning. - Yoram Bachrach; Richard Everett 001; Edward Hughes 001; Angeliki Lazaridou; Joel Z. Leibo; Marc Lanctot; Michael Johanson; Wojciech M. Czarnecki; Thore Graepel (Artif. Intell., 2020)

Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. - Gauthier Gidel; David Balduzzi; Wojciech Marian Czarnecki; Marta Garnelo; Yoram Bachrach (CoRR, 2020)

Open Problems in Cooperative AI. - Allan Dafoe; Edward Hughes 001; Yoram Bachrach; Tantum Collins; Kevin R. McKee; Joel Z. Leibo; Kate Larson; Thore Graepel (CoRR, 2020)

Human-computer Coalition Formation in Weighted Voting Games. - Moshe Mash; Roy Fairstein; Yoram Bachrach; Kobi Gal; Yair Zick (ACM Trans. Intell. Syst. Technol., 2020)

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 001; Marta Garnelo; Yoram Bachrach (AISTATS, 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 (IJCAI, 2021)

Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index. - Roma Patel; Marta Garnelo; Ian Gemp; Chris Dyer; Yoram Bachrach (NAACL-HLT, 2021)

Statistical discrimination in learning agents. - Edgar A. Duéñez-Guzmán; Kevin R. McKee; Yiran Mao; Ben Coppin; Silvia Chiappa; Alexander Sasha Vezhnevets; Michiel A. Bakker; Yoram Bachrach; Suzanne Sadedin; William Isaac 001; Karl Tuyls; Joel Z. Leibo (CoRR, 2021)

Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning. - Justin Fu; Andrea Tacchetti; Julien Pérolat; Yoram Bachrach (J. Artif. Intell. Res., 2021)

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 (AAAI, 2022)

D3C: Reducing the Price of Anarchy in Multi-Agent Learning. - Ian Gemp; Kevin R. McKee; Richard Everett 001; Edgar A. Duéñez-Guzmán; Yoram Bachrach; David Balduzzi; Andrea Tacchetti (AAMAS, 2022)

Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. - Ian Gemp; Rahul Savani; Marc Lanctot; Yoram Bachrach; Thomas W. Anthony 001; Richard Everett 001; Andrea Tacchetti; Tom Eccles; János Kramár (AAMAS, 2022)

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

Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. - Elise van der Pol; Ian Gemp; Yoram Bachrach (TAG-ML, 2022)

Developing, evaluating and scaling learning agents in multi-agent environments. - Ian Gemp; Thomas W. Anthony 001; Yoram Bachrach; Avishkar Bhoopchand; Kalesha Bullard; Jerome T. Connor; Vibhavari Dasagi; Bart De Vylder; Edgar A. Duéñez-Guzmán; Romuald Elie; Richard Everett 001; Daniel Hennes; et al. (AI Commun., 2022)

Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. - Elise van der Pol; Ian Gemp; Yoram Bachrach; Richard Everett 001 (CoRR, 2022)

Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. - Zun Li 002; Marc Lanctot; Kevin R. McKee; Luke Marris; Ian Gemp; Daniel Hennes; Kate Larson; Yoram Bachrach; Michael P. Wellman; Paul Muller (AAMAS, 2023)

Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples. - Marco Jiralerspong; Avishek Joey Bose; Ian Gemp; Chongli Qin; Yoram Bachrach; Gauthier Gidel (NeurIPS, 2023)

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. - Zun Li 002; Marc Lanctot; Kevin R. McKee; Luke Marris; Ian Gemp; Daniel Hennes; Paul Muller; Kate Larson; Yoram Bachrach; Michael P. Wellman (CoRR, 2023)

Explainability Techniques for Chemical Language Models. - Stefan Hödl; William E. Robinson; Yoram Bachrach; Wilhelm T. S. Huck; Tal Kachman (CoRR, 2023)

TacticAI: an AI assistant for football tactics. - Zhe Wang 055; Petar Velickovic; Daniel Hennes; Nenad Tomasev; Laurel Prince; Michael Kaisers; Yoram Bachrach; Romuald Elie; Li Kevin Wenliang; Federico Piccinini; William Spearman; Ian Graham; et al. (CoRR, 2023)

Using Cooperative Game Theory to Prune Neural Networks. - Mauricio Diaz-Ortiz Jr.; Benjamin Kempinski; Daphne Cornelisse; Yoram Bachrach; Tal Kachman (CoRR, 2023)

Evaluating Agents using Social Choice Theory. - Marc Lanctot; Kate Larson; Yoram Bachrach; Luke Marris; Zun Li 002; Avishkar Bhoopchand; Thomas W. Anthony 001; Brian Tanner; Anna Koop (CoRR, 2023)

Pruning Neural Networks Using Cooperative Game Theory. - Mauricio Diaz-Ortiz Jr.; Benjamin Kempinski; Daphne Cornelisse; Yoram Bachrach; Tal Kachman (AAMAS, 2024)

Approximating the Core via Iterative Coalition Sampling. - Ian Gemp; Marc Lanctot; Luke Marris; Yiran Mao; Edgar A. Duéñez-Guzmán; Sarah Perrin; András György 001; Romuald Elie; Georgios Piliouras; Michael Kaisers; Daniel Hennes; Kalesha Bullard; et al. (AAMAS, 2024)

States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers. - Ian Gemp; Yoram Bachrach; Marc Lanctot; Roma Patel; Vibhavari Dasagi; Luke Marris; Georgios Piliouras; Siqi Liu 002; Karl Tuyls (CoRR, 2024)

Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models. - Benjamin Kempinski; Ian Gemp; Kate Larson; Marc Lanctot; Yoram Bachrach; Tal Kachman (AAMAS, 2025)

Soft Condorcet Optimization for Ranking of General Agents. - Marc Lanctot; Kate Larson; Michael Kaisers; Quentin Berthet; Ian Gemp; Manfred Diaz; Roberto-Rafael Maura-Rivero; Yoram Bachrach; Anna Koop; Doina Precup (AAMAS, 2025)

Modeling Chemical Reaction Networks Using Neural Ordinary Differential Equations. - Anna C. M. Thöni; William E. Robinson; Yoram Bachrach; Wilhelm T. S. Huck; Tal Kachman (J. Chem. Inf. Model., 2025)

MLGym: A New Framework and Benchmark for Advancing AI Research Agents. - Deepak Nathani; Lovish Madaan; Nicholas Roberts; Nikolay Bashlykov; Ajay Menon; Vincent Moens; Amar Budhiraja; Despoina Magka; Vladislav Vorotilov; Gaurav Chaurasia; Dieuwke Hupkes; Ricardo Silveira Cabral; et al. (CoRR, 2025)

Modelling Chemical Reaction Networks using Neural Ordinary Differential Equations. - Anna C. M. Thöni; William E. Robinson; Yoram Bachrach; Wilhelm T. S. Huck; Tal Kachman (CoRR, 2025)

Modelling Mean-Field Games with Neural Ordinary Differential Equations. - Anna C. M. Thöni; Yoram Bachrach; Tal Kachman (CoRR, 2025)

Embodied AI Agents: Modeling the World. - Pascale Fung; Yoram Bachrach; Asli Celikyilmaz; Kamalika Chaudhuri; Delong Chen; Willy Chung; Emmanuel Dupoux; Hervé Jégou; Alessandro Lazaric; Arjun Majumdar; Andrea Madotto; Franziska Meier; et al. (CoRR, 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; et al. (CoRR, 2025)

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. - Edan Toledo; Karen Hambardzumyan; Martin Josifoski; Rishi Hazra; Nicolas Mario Baldwin; Alexis Audran-Reiss; Michael Kuchnik; Despoina Magka; Minqi Jiang; Alisia Maria Lupidi; Andrei Lupu; Roberta Raileanu; et al. (CoRR, 2025)