Yoram Bachrach

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 73

Top Venues

Publications

Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Approximating the Core via Iterative Coalition Sampling. AAMAS (2024)
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
Approximating the Core via Iterative Coalition Sampling. CoRR (2024)
Ian Gemp, Yoram Bachrach, Marc Lanctot, Roma Patel, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls
States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers. CoRR (2024)
Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman
Pruning Neural Networks Using Cooperative Game Theory. AAMAS (2024)
Stefan Hödl, William Robinson, Yoram Bachrach, Wilhelm Huck, Tal Kachman
Explainability Techniques for Chemical Language Models. CoRR (2023)
Marc Lanctot, Kate Larson, Yoram Bachrach, Luke Marris, Zun Li, Avishkar Bhoopchand, Thomas W. Anthony, Brian Tanner, Anna Koop
Evaluating Agents using Social Choice Theory. CoRR (2023)
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS (2023)
Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman
Using Cooperative Game Theory to Prune Neural Networks. CoRR (2023)
Zhe Wang, Petar Velickovic, Daniel Hennes, Nenad Tomasev, Laurel Prince, Michael Kaisers, Yoram Bachrach, Romuald Elie, Li Kevin Wenliang, Federico Piccinini, William Spearman, Ian Graham, Jerome T. Connor, Yi Yang, Adrià Recasens, Mina Khan, Nathalie Beauguerlange, Pablo Sprechmann, Pol Moreno, Nicolas Heess, Michael Bowling, Demis Hassabis, Karl Tuyls
TacticAI: an AI assistant for football tactics. CoRR (2023)
Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR (2023)
Marco Jiralerspong, Avishek Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples. NeurIPS (2023)
Ian M. Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
D3C: Reducing the Price of Anarchy in Multi-Agent Learning. AAMAS (2022)
Elise van der Pol, Ian Gemp, Yoram Bachrach
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. TAG-ML (2022)
Ian M. Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. 35 (4) (2022)
Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
Role of Human-AI Interaction in Selective Prediction. AAAI (2022)
Ian M. Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. AAMAS (2022)
Daphne Cornelisse, Thomas Rood, Mateusz Malinowski, Yoram Bachrach, Tal Kachman
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. CoRR (2022)
Elise van der Pol, Ian M. Gemp, Yoram Bachrach, Richard Everett
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. CoRR (2022)
Daphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. NeurIPS (2022)
Ian M. Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR (2022)
Justin Fu, Andrea Tacchetti, Julien Pérolat, Yoram Bachrach
Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning. J. Artif. Intell. Res. 71 (2021)
Yoram Bachrach, Ian M. Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel
A Neural Network Auction For Group Decision Making Over a Continuous Space. IJCAI (2021)
Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
Role of Human-AI Interaction in Selective Prediction. CoRR (2021)
Roma Patel, Marta Garnelo, Ian M. Gemp, Chris Dyer, Yoram Bachrach
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index. NAACL-HLT (2021)
Ian M. Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. CoRR (2021)
Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. AISTATS (2021)
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, Karl Tuyls, Joel Z. Leibo
Statistical discrimination in learning agents. CoRR (2021)
Ian M. Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
D3C: Reducing the Price of Anarchy in Multi-Agent Learning. CoRR (2020)
Gauthier Gidel, David Balduzzi, Wojciech Marian Czarnecki, Marta Garnelo, Yoram Bachrach
Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. CoRR (2020)
Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian M. Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
Learning to Play No-Press Diplomacy with Best Response Policy Iteration. NeurIPS (2020)
Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel
Open Problems in Cooperative AI. CoRR (2020)
Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. AAMAS (2020)
Moshe Mash, Roy Fairstein, Yoram Bachrach, Kobi Gal, Yair Zick
Human-computer Coalition Formation in Weighted Voting Games. ACM Trans. Intell. Syst. Technol. 11 (6) (2020)
Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. CoRR (2020)
Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian M. Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
Learning to Play No-Press Diplomacy with Best Response Policy Iteration. CoRR (2020)
Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel
Negotiating Team Formation Using Deep Reinforcement Learning. CoRR (2020)
Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel
Negotiating team formation using deep reinforcement learning. Artif. Intell. 288 (2020)
David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech M. Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel
Open-ended Learning in Symmetric Zero-sum Games. CoRR (2019)
Aldo Pacchiano, Yoram Bachrach
Computing Stable Solutions in Threshold Network Flow Games With Bounded Treewidth. AAMAS (2019)
Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel
Biases for Emergent Communication in Multi-agent Reinforcement Learning. NeurIPS (2019)
Yoram Bachrach, Ian A. Kash, Peter B. Key, Joel Oren
Strategic behavior and learning in all-pay auctions: an empirical study using crowdsourced data. Auton. Agents Multi Agent Syst. 33 (1-2) (2019)
Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel
Biases for Emergent Communication in Multi-agent Reinforcement Learning. CoRR (2019)
Dylan Banarse, Yoram Bachrach, Siqi Liu, Guy Lever, Nicolas Heess, Chrisantha Fernando, Pushmeet Kohli, Thore Graepel
The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution. AAMAS (2019)
Yuval Filmus, Joel Oren, Yair Zick, Yoram Bachrach
Analyzing Power in Weighted Voting Games with Super-Increasing Weights. Theory Comput. Syst. 63 (1) (2019)
Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach
A Neural Architecture for Designing Truthful and Efficient Auctions. CoRR (2019)
David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel
Open-ended learning in symmetric zero-sum games. ICML (2019)
Andrej Zukov Gregoric, Yoram Bachrach, Sam Coope
Named Entity Recognition With Parallel Recurrent Neural Networks. ACL (2) (2018)
Sam Coope, Yoram Bachrach, Andrej Zukov Gregoric, José Rodríguez, Bogdan Maksak, Conan McMurtie, Mahyar Bordbar
A Neural Architecture for Multi-label Text Classification. IntelliSys (1) (2018)
Yoram Bachrach, Edith Elkind, Enrico Malizia, Reshef Meir, Dmitrii V. Pasechnik, Jeffrey S. Rosenschein, Jörg Rothe, Michael Zuckerman
Bounds on the Cost of Stabilizing a Cooperative Game. J. Artif. Intell. Res. 63 (2018)
Yoad Lewenberg, Omer Lev, Yoram Bachrach, Jeffrey S. Rosenschein
Agent Failures in All-Pay Auctions. CoRR (2017)
Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein
Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem. AAAI (2017)
Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter
Batch Policy Gradient Methods for Improving Neural Conversation Models. CoRR (2017)
Andrej Zukov Gregoric, Yoram Bachrach, Pasha Minkovsky, Sam Coope, Bogdan Maksak
Neural Named Entity Recognition Using a Self-Attention Mechanism. ICTAI (2017)
Yoram Bachrach, Andrej Zukov Gregoric, Sam Coope, Ed Tovell, Bogdan Maksak, José Rodríguez, Conan McMurtie, Mahyar Bordbar
An Attention Mechanism for Neural Answer Selection Using a Combined Global and Local View. ICTAI (2017)
Yoad Lewenberg, Omer Lev, Yoram Bachrach, Jeffrey S. Rosenschein
Agent Failures in All-Pay Auctions. IEEE Intell. Syst. 32 (1) (2017)
Yoram Bachrach, Andrej Zukov Gregoric, Sam Coope, Ed Tovell, Bogdan Maksak, José Rodríguez, Conan McMurtie
An Attention Mechanism for Answer Selection Using a Combined Global and Local View. CoRR (2017)
Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter
Batch Policy Gradient Methods for Improving Neural Conversation Models. ICLR (Poster) (2017)
Yair Zick, Kobi Gal, Yoram Bachrach, Moshe Mash
How to Form Winning Coalitions in Mixed Human-Computer Settings. IJCAI (2017)
Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, Mohammad Reza Khani
Mechanism Design for Mixed Bidders. WWW (2016)
Yoram Bachrach, Yoad Lewenberg, Jeffrey S. Rosenschein, Yair Zick
Tracking Performance and Forming Study Groups for Prep Courses Using Probabilistic Graphical Models: (Extended Abstract). AAMAS (2016)
Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi
Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information. IJCAI (2016)
Yoram Bachrach, Omer Lev, Yoad Lewenberg, Yair Zick
Misrepresentation in District Voting. IJCAI (2016)
Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi
Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information. AAAI (2016)
Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam
Predicting Gaming Related Properties from Twitter Accounts. AAAI (2016)
Alfredo Kalaitzis, Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Michael Fagan, Dean Carignan, Nitin Gautam
Predicting Gaming Related Properties from Twitter Profiles. BigDataService (2016)
Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information. CoRR (2016)
Svitlana Volkova, Yoram Bachrach, Benjamin Van Durme
Mining User Interests to Predict Perceived Psycho-Demographic Traits on Twitter. BigDataService (2016)
Yoram Bachrach, Yuval Filmus, Joel Oren, Yair Zick
Analyzing Power in Weighted Voting Games with Super-Increasing Weights. SAGT (2016)
Yoram Bachrach, Yuval Filmus, Joel Oren, Yair Zick
A Characterization of Voting Power for Discrete Weight Distributions. IJCAI (2016)
Yoad Lewenberg, Yoram Bachrach, Lucas Bordeaux, Pushmeet Kohli
Political Dimensionality Estimation Using a Probabilistic Graphical Model. UAI (2016)
Svitlana Volkova, Yoram Bachrach
Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast. ACL (1) (2016)
Yoad Lewenberg, Yoram Bachrach, Ian A. Kash, Peter B. Key
Using Convolutional Neural Networks to Analyze Function Properties from Images. AAAI (2016)
Alex Gaunt, Diana Borsa, Yoram Bachrach
Training Neural Nets to Aggregate Crowdsourced Responses. UAI (2016)
Svitlana Volkova, Benjamin Van Durme, David Yarowsky, Yoram Bachrach
Social Media Predictive Analytics. HLT-NAACL (2015)
Yoram Bachrach
Human judgments in hiring decisions based on online social network profiles. DSAA (2015)
Yoad Lewenberg, Yoram Bachrach, Svitlana Volkova
Using emotions to predict user interest areas in online social networks. DSAA (2015)
Yair Zick, Yoram Bachrach, Ian A. Kash, Peter B. Key
Non-Myopic Negotiators See What's Best. IJCAI (2015)
Yoram Bachrach, Ely Porat
Fingerprints for highly similar streams. Inf. Comput. 244 (2015)
Svitlana Volkova, Yoram Bachrach
On Predicting Sociodemographic Traits and Emotions from Communications in Social Networks and Their Implications to Online Self-Disclosure. Cyberpsychology Behav. Soc. Netw. 18 (12) (2015)
Yoad Lewenberg, Yoram Bachrach, Yonatan Sompolinsky, Aviv Zohar, Jeffrey S. Rosenschein
Bitcoin Mining Pools: A Cooperative Game Theoretic Analysis. AAMAS (2015)
Svitlana Volkova, Yoram Bachrach, Michael Armstrong, Vijay Sharma
Inferring Latent User Properties from Texts Published in Social Media. AAAI (2015)
Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, Filip Radlinski, Ely Porat, Michael Armstrong, Vijay Sharma
Building a personalized tourist attraction recommender system using crowdsourcing. AAMAS (2014)
Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, David Kurokawa
Optimising trade-offs among stakeholders in ad auctions. EC (2014)
Yoram Bachrach, Rahul Savani, Nisarg Shah
Cooperative max games and agent failures. AAMAS (2014)
Bar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model. ECML/PKDD (3) (2014)
Joel Oren, Yuval Filmus, Yair Zick, Yoram Bachrach
Power Distribution in Randomized Weighted Voting: the Effects of the Quota. CoRR (2014)
Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet
Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces. RecSys (2014)
Haris Aziz, Yoram Bachrach, Edith Elkind, Mike Paterson
False-Name Manipulations in Weighted Voting Games. CoRR (2014)
Michal Kosinski, Yoram Bachrach, Pushmeet Kohli, David Stillwell, Thore Graepel
Manifestations of user personality in website choice and behaviour on online social networks. Mach. Learn. 95 (3) (2014)
Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, David Kurokawa
Optimising Trade-offs Among Stakeholders in Ad Auctions. CoRR (2014)
Yoram Bachrach, Ely Porat, Jeffrey S. Rosenschein
Sharing Rewards in Cooperative Connectivity Games. CoRR (2014)
Yoram Bachrach, Vasilis Syrgkanis, Éva Tardos, Milan Vojnovic
Strong Price of Anarchy, Utility Games and Coalitional Dynamics. SAGT (2014)
Gideon Blocq, Yoram Bachrach, Peter B. Key
The shared assignment game and applications to pricing in cloud computing. AAMAS (2014)
Abigail See, Yoram Bachrach, Pushmeet Kohli
The cost of principles: analyzing power in compatibility weighted voting games. AAMAS (2014)
Yoram Bachrach, Thore Graepel, Pushmeet Kohli, Michal Kosinski, David Stillwell
Your digital image: factors behind demographic and psychometric predictions from social network profiles. AAMAS (2014)
Yoram Bachrach, Omer Lev, Shachar Lovett, Jeffrey S. Rosenschein, Morteza Zadimoghaddam
Cooperative weakest link games. AAMAS (2014)
Omer Lev, Maria Polukarov, Yoram Bachrach, Jeffrey S. Rosenschein
Mergers and collusion in all-pay auctions and crowdsourcing contests. AAMAS (2013)
Yoram Bachrach, Vasilis Syrgkanis, Éva Tardos, Milan Vojnovic
Strong Price of Anarchy and Coalitional Dynamics. CoRR (2013)
Yoram Bachrach, Vasilis Syrgkanis, Milan Vojnovic
Incentives and Efficiency in Uncertain Collaborative Environments. CoRR (2013)
Yoram Bachrach, Ely Porat
Sketching for Big Data Recommender Systems Using Fast Pseudo-random Fingerprints. ICALP (2) (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yoram Bachrach