Yoram Bachrach

183 papers A* 34A 30B 13C 2Journal 76Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AIRA_2: Overcoming Bottlenecks in AI Research Agents. CoRR Karen Hambardzumyan, Nicolas Mario Baldwin, Edan Toledo, Rishi Hazra, Michael Kuchnik, Bassel Al Omari, Thomas Foster, Anton Protopopov, Jean-Christophe Gagnon-Audet, Ishita Mediratta, Kelvin Niu, Michael Shvartsman, Alisia Maria Lupidi, Alexis Audran-Reiss, Parth Pathak, Tatiana Shavrina, Despoina Magka, Hela Momand, Derek Dunfield, Nicola Cancedda, Pontus Stenetorp, Carole-Jean Wu, Jakob Nicolaus Foerster, Yoram Bachrach, Martin Josifoski
2026	J	`jnl`	AIRS-Bench: a Suite of Tasks for Frontier AI Research Science Agents. CoRR Alisia Maria Lupidi, Bhavul Gauri, Thomas Foster, Bassel Al Omari, Despoina Magka, Alberto Pepe, Alexis Audran-Reiss, Muna Aghamelu, Nicolas Mario Baldwin, Lucia Cipolina-Kun, Jean-Christophe Gagnon-Audet, Chee Hau Leow, Sandra Lefdal, Hossam Mossalam, Abhinav Moudgil, Saba Nazir, Emanuel Tewolde, Isabel Urrego, Jordi Armengol-Estapé, Amar Budhiraja, Gaurav Chaurasia, Abhishek Charnalia, Derek Dunfield, Karen Hambardzumyan, Daniel Izcovich, Martin Josifoski, Ishita Mediratta, Kelvin Niu, Parth Pathak, Michael Shvartsman, Edan Toledo, Anton Protopopov, Roberta Raileanu, Alexander H. Miller, Tatiana Shavrina, Jakob N. Foerster, Yoram Bachrach
2026	J	`jnl`	APRES: An Agentic Paper Revision and Evaluation System. CoRR Bingchen Zhao, Jenny Zhang, Chenxi Whitehouse, Minqi Jiang, Michael Shvartsman, Abhishek Charnalia, Despoina Magka, Tatiana Shavrina, Derek Dunfield, Oisin Mac Aodha, Yoram Bachrach
2026	J	`jnl`	Asking the Right Questions: Improving Reasoning with Generated Stepping Stones. CoRR Hengyuan Hu, Tingchen Fu, Minqi Jiang, Alexander H. Miller, Yoram Bachrach, Jakob Nicolaus Foerster
2026	J	`jnl`	Bootstrapping Task Spaces for Self-Improvement. Trans. Mach. Learn. Res. Minqi Jiang, Andrei Lupu, Yoram Bachrach
2026	J	`jnl`	Scaling Small Agents Through Strategy Auctions. CoRR Lisa Alazraki, William F. Shen, Yoram Bachrach, Akhil Mathur
2025	J	`jnl`	AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. CoRR 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, Kelvin Niu, Tatiana Shavrina, 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
2025	J	`jnl`	Bootstrapping Task Spaces for Self-Improvement. CoRR Minqi Jiang, Andrei Lupu, Yoram Bachrach
2025	A*	`conf`	Combining Code Generating Large Language Models and Self-Play to Iteratively Refine Strategies in Games. IJCAI 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
2025	A*	`conf`	Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling. IJCAI Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2025	J	`jnl`	Embodied AI Agents: Modeling the World. CoRR Pascale Fung, Yoram Bachrach, Asli Celikyilmaz, Kamalika Chaudhuri, Delong Chen, Willy Chung, Emmanuel Dupoux, Hervé Jégou, Alessandro Lazaric, Arjun Majumdar, Andrea Madotto, Franziska Meier, Florian Metze, Théo Moutakanni, Juan Pino, Basile Terver, Joseph Tighe, Jitendra Malik
2025	A	`conf`	Game of Thoughts: Iterative Reasoning in Game-Theoretic Domains with Large Language Models. AAMAS Benjamin Kempinski, Ian Gemp, Kate Larson, Marc Lanctot, Yoram Bachrach, Tal Kachman
2025	J	`jnl`	MLGym: A New Framework and Benchmark for Advancing AI Research Agents. CoRR 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, Tatiana Shavrina, Jakob N. Foerster, Yoram Bachrach, William Yang Wang, Roberta Raileanu
2025	J	`jnl`	Modeling Chemical Reaction Networks Using Neural Ordinary Differential Equations. J. Chem. Inf. Model. Anna C. M. Thöni, William E. Robinson, Yoram Bachrach, Wilhelm T. S. Huck, Tal Kachman
2025	J	`jnl`	Modelling Chemical Reaction Networks using Neural Ordinary Differential Equations. CoRR Anna C. M. Thöni, William E. Robinson, Yoram Bachrach, Wilhelm T. S. Huck, Tal Kachman
2025	J	`jnl`	Modelling Mean-Field Games with Neural Ordinary Differential Equations. CoRR Anna C. M. Thöni, Yoram Bachrach, Tal Kachman
2025	A	`conf`	Soft Condorcet Optimization for Ranking of General Agents. AAMAS Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2025	J	`jnl`	Souper-Model: How Simple Arithmetic Unlocks State-of-the-Art LLM Performance. CoRR Shalini Maiti, Amar Budhiraja, Bhavul Gauri, Gaurav Chaurasia, Anton Protopopov, Alexis Audran-Reiss, Michael Slater, Despoina Magka, Tatiana Shavrina, Roberta Raileanu, Yoram Bachrach
2025	J	`jnl`	The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements. CoRR 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, Edan Toledo, Karen Hambardzumyan, Martin Josifoski, Thomas Foster, Lucia Cipolina-Kun, Abhishek Charnalia, Derek Dunfield, Alexander H. Miller, Oisin Mac Aodha, Jakob N. Foerster, Yoram Bachrach
2025	J	`jnl`	Training AI Co-Scientists Using Rubric Rewards. CoRR Shashwat Goel, Rishi Hazra, Dulhan Jayalath, Timon Willi, Parag Jain, William F. Shen, Ilias Leontiadis, Francesco Barbieri, Yoram Bachrach, Jonas Geiping, Chenxi Whitehouse
2025	J	`jnl`	What Does It Take to Be a Good AI Research Agent? Studying the Role of Ideation Diversity. CoRR Alexis Audran-Reiss, Jordi Armengol-Estapé, Karen Hambardzumyan, Amar Budhiraja, Martin Josifoski, Edan Toledo, Rishi Hazra, Despoina Magka, Michael Shvartsman, Parth Pathak, Justine T. Kao, Lucia Cipolina-Kun, Bhavul Gauri, Jean-Christophe Gagnon-Audet, Emanuel Tewolde, Jenny Zhang, Taco Cohen, Yossi Adi, Tatiana Shavrina, Yoram Bachrach
2024	A	`conf`	Approximating the Core via Iterative Coalition Sampling. AAMAS Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024	J	`jnl`	Approximating the Core via Iterative Coalition Sampling. CoRR Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024	J	`jnl`	Crowd IQ - Aggregating Opinions to Boost Performance. CoRR Michal Kosinski, Yoram Bachrach, Thore Graepel, Gjergji Kasneci, Jurgen Van Gael
2024	A	`conf`	Pruning Neural Networks Using Cooperative Game Theory. AAMAS Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman
2024	J	`jnl`	Soft Condorcet Optimization for Ranking of General Agents. CoRR Marc Lanctot, Kate Larson, Michael Kaisers, Quentin Berthet, Ian Gemp, Manfred Diaz, Roberto-Rafael Maura-Rivero, Yoram Bachrach, Anna Koop, Doina Precup
2024	J	`jnl`	States as Strings as Strategies: Steering Language Models with Game-Theoretic Solvers. CoRR Ian Gemp, Yoram Bachrach, Marc Lanctot, Roma Patel, Vibhavari Dasagi, Luke Marris, Georgios Piliouras, Siqi Liu, Karl Tuyls
2023	J	`jnl`	Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning. CoRR Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Paul Muller, Kate Larson, Yoram Bachrach, Michael P. Wellman
2023	J	`jnl`	Evaluating Agents using Social Choice Theory. CoRR Marc Lanctot, Kate Larson, Yoram Bachrach, Luke Marris, Zun Li, Avishkar Bhoopchand, Thomas W. Anthony, Brian Tanner, Anna Koop
2023	J	`jnl`	Explainability Techniques for Chemical Language Models. CoRR Stefan Hödl, William E. Robinson, Yoram Bachrach, Wilhelm T. S. Huck, Tal Kachman
2023	A*	`conf`	Feature Likelihood Score: Evaluating the Generalization of Generative Models Using Samples. NeurIPS Marco Jiralerspong, Avishek Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
2023	A	`conf`	Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games. AAMAS Zun Li, Marc Lanctot, Kevin R. McKee, Luke Marris, Ian Gemp, Daniel Hennes, Kate Larson, Yoram Bachrach, Michael P. Wellman, Paul Muller
2023	J	`jnl`	TacticAI: an AI assistant for football tactics. CoRR 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
2023	J	`jnl`	Using Cooperative Game Theory to Prune Neural Networks. CoRR Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman
2022	A	`conf`	D3C: Reducing the Price of Anarchy in Multi-Agent Learning. AAMAS Ian Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
2022	J	`jnl`	Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR Ian 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
2022	J	`jnl`	Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. Ian 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
2022	A*	`conf`	Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. NeurIPS Daphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman
2022	J	`jnl`	Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. CoRR Daphne Cornelisse, Thomas Rood, Mateusz Malinowski, Yoram Bachrach, Tal Kachman
2022	A*	`conf`	Role of Human-AI Interaction in Selective Prediction. AAAI Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
2022	A	`conf`	Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. AAMAS Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár
2022	—	`conf`	Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. TAG-ML Elise van der Pol, Ian Gemp, Yoram Bachrach
2022	J	`jnl`	Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. CoRR Elise van der Pol, Ian Gemp, Yoram Bachrach, Richard Everett
2021	A	`conf`	A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. AISTATS Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach
2021	A*	`conf`	A Neural Network Auction For Group Decision Making Over a Continuous Space. IJCAI Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel
2021	J	`jnl`	Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning. J. Artif. Intell. Res. Justin Fu, Andrea Tacchetti, Julien Pérolat, Yoram Bachrach
2021	—	`conf`	Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index. NAACL-HLT Roma Patel, Marta Garnelo, Ian Gemp, Chris Dyer, Yoram Bachrach
2021	J	`jnl`	Role of Human-AI Interaction in Selective Prediction. CoRR Elizabeth Bondi, Raphael Koster, Hannah Sheahan, Martin J. Chadwick, Yoram Bachrach, A. Taylan Cemgil, Ulrich Paquet, Krishnamurthy Dvijotham
2021	J	`jnl`	Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent. CoRR Ian Gemp, Rahul Savani, Marc Lanctot, Yoram Bachrach, Thomas W. Anthony, Richard Everett, Andrea Tacchetti, Tom Eccles, János Kramár
2021	J	`jnl`	Statistical discrimination in learning agents. CoRR 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
2020	J	`jnl`	D3C: Reducing the Price of Anarchy in Multi-Agent Learning. CoRR Ian Gemp, Kevin R. McKee, Richard Everett, Edgar A. Duéñez-Guzmán, Yoram Bachrach, David Balduzzi, Andrea Tacchetti
2020	J	`jnl`	Human-computer Coalition Formation in Weighted Voting Games. ACM Trans. Intell. Syst. Technol. Moshe Mash, Roy Fairstein, Yoram Bachrach, Kobi Gal, Yair Zick
2020	A*	`conf`	Learning to Play No-Press Diplomacy with Best Response Policy Iteration. NeurIPS Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
2020	J	`jnl`	Learning to Play No-Press Diplomacy with Best Response Policy Iteration. CoRR Thomas W. Anthony, Tom Eccles, Andrea Tacchetti, János Kramár, Ian Gemp, Thomas C. Hudson, Nicolas Porcel, Marc Lanctot, Julien Pérolat, Richard Everett, Satinder Singh, Thore Graepel, Yoram Bachrach
2020	A	`conf`	Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. AAMAS Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach
2020	J	`jnl`	Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games. CoRR Edward Hughes, Thomas W. Anthony, Tom Eccles, Joel Z. Leibo, David Balduzzi, Yoram Bachrach
2020	J	`jnl`	Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. CoRR Gauthier Gidel, David Balduzzi, Wojciech Marian Czarnecki, Marta Garnelo, Yoram Bachrach
2020	J	`jnl`	Negotiating Team Formation Using Deep Reinforcement Learning. CoRR Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel
2020	J	`jnl`	Negotiating team formation using deep reinforcement learning. Artif. Intell. Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel
2020	J	`jnl`	Open Problems in Cooperative AI. CoRR Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel
2019	J	`jnl`	A Neural Architecture for Designing Truthful and Efficient Auctions. CoRR Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach
2019	J	`jnl`	Analyzing Power in Weighted Voting Games with Super-Increasing Weights. Theory Comput. Syst. Yuval Filmus, Joel Oren, Yair Zick, Yoram Bachrach
2019	A*	`conf`	Biases for Emergent Communication in Multi-agent Reinforcement Learning. NeurIPS Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel
2019	J	`jnl`	Biases for Emergent Communication in Multi-agent Reinforcement Learning. CoRR Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel
2019	A	`conf`	Computing Stable Solutions in Threshold Network Flow Games With Bounded Treewidth. AAMAS Aldo Pacchiano, Yoram Bachrach
2019	J	`jnl`	Open-ended Learning in Symmetric Zero-sum Games. CoRR David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech M. Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel
2019	A*	`conf`	Open-ended learning in symmetric zero-sum games. ICML David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel
2019	J	`jnl`	Strategic behavior and learning in all-pay auctions: an empirical study using crowdsourced data. Auton. Agents Multi Agent Syst. Yoram Bachrach, Ian A. Kash, Peter B. Key, Joel Oren
2019	A	`conf`	The Body is Not a Given: Joint Agent Policy Learning and Morphology Evolution. AAMAS Dylan Banarse, Yoram Bachrach, Siqi Liu, Guy Lever, Nicolas Heess, Chrisantha Fernando, Pushmeet Kohli, Thore Graepel
2018	—	`conf`	A Neural Architecture for Multi-label Text Classification. IntelliSys (1) Sam Coope, Yoram Bachrach, Andrej Zukov Gregoric, José Rodríguez, Bogdan Maksak, Conan McMurtie, Mahyar Bordbar
2018	J	`jnl`	Bounds on the Cost of Stabilizing a Cooperative Game. J. Artif. Intell. Res. Yoram Bachrach, Edith Elkind, Enrico Malizia, Reshef Meir, Dmitrii V. Pasechnik, Jeffrey S. Rosenschein, Jörg Rothe, Michael Zuckerman
2018	—	`conf`	Named Entity Recognition With Parallel Recurrent Neural Networks. ACL (2) Andrej Zukov Gregoric, Yoram Bachrach, Sam Coope
2017	J	`jnl`	Agent Failures in All-Pay Auctions. CoRR Yoad Lewenberg, Omer Lev, Yoram Bachrach, Jeffrey S. Rosenschein
2017	J	`jnl`	Agent Failures in All-Pay Auctions. IEEE Intell. Syst. Yoad Lewenberg, Omer Lev, Yoram Bachrach, Jeffrey S. Rosenschein
2017	J	`jnl`	An Attention Mechanism for Answer Selection Using a Combined Global and Local View. CoRR Yoram Bachrach, Andrej Zukov Gregoric, Sam Coope, Ed Tovell, Bogdan Maksak, José Rodríguez, Conan McMurtie
2017	B	`conf`	An Attention Mechanism for Neural Answer Selection Using a Combined Global and Local View. ICTAI Yoram Bachrach, Andrej Zukov Gregoric, Sam Coope, Ed Tovell, Bogdan Maksak, José Rodríguez, Conan McMurtie, Mahyar Bordbar
2017	—	`conf`	Batch Policy Gradient Methods for Improving Neural Conversation Models. ICLR (Poster) Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter
2017	J	`jnl`	Batch Policy Gradient Methods for Improving Neural Conversation Models. CoRR Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter
2017	A*	`conf`	How to Form Winning Coalitions in Mixed Human-Computer Settings. IJCAI Yair Zick, Kobi Gal, Yoram Bachrach, Moshe Mash
2017	A*	`conf`	Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem. AAAI Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein
2017	B	`conf`	Neural Named Entity Recognition Using a Self-Attention Mechanism. ICTAI Andrej Zukov Gregoric, Yoram Bachrach, Pasha Minkovsky, Sam Coope, Bogdan Maksak
2016	A*	`conf`	A Characterization of Voting Power for Discrete Weight Distributions. IJCAI Yoram Bachrach, Yuval Filmus, Joel Oren, Yair Zick
2016	B	`conf`	Analyzing Power in Weighted Voting Games with Super-Increasing Weights. SAGT Yoram Bachrach, Yuval Filmus, Joel Oren, Yair Zick
2016	—	`conf`	Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast. ACL (1) Svitlana Volkova, Yoram Bachrach
2016	A*	`conf`	Mechanism Design for Mixed Bidders. WWW Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, Mohammad Reza Khani
2016	—	`conf`	Mining User Interests to Predict Perceived Psycho-Demographic Traits on Twitter. BigDataService Svitlana Volkova, Yoram Bachrach, Benjamin Van Durme
2016	A*	`conf`	Misrepresentation in District Voting. IJCAI Yoram Bachrach, Omer Lev, Yoad Lewenberg, Yair Zick
2016	A	`conf`	Political Dimensionality Estimation Using a Probabilistic Graphical Model. UAI Yoad Lewenberg, Yoram Bachrach, Lucas Bordeaux, Pushmeet Kohli
2016	A*	`conf`	Predicting Gaming Related Properties from Twitter Accounts. AAAI Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam
2016	—	`conf`	Predicting Gaming Related Properties from Twitter Profiles. BigDataService Alfredo Kalaitzis, Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Michael Fagan, Dean Carignan, Nitin Gautam
2016	A*	`conf`	Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information. AAAI Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi
2016	A*	`conf`	Predicting Personal Traits from Facial Images Using Convolutional Neural Networks Augmented with Facial Landmark Information. IJCAI Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi
2016	J	`jnl`	Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information. CoRR Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi
2016	A	`conf`	Tracking Performance and Forming Study Groups for Prep Courses Using Probabilistic Graphical Models: (Extended Abstract). AAMAS Yoram Bachrach, Yoad Lewenberg, Jeffrey S. Rosenschein, Yair Zick
2016	A	`conf`	Training Neural Nets to Aggregate Crowdsourced Responses. UAI Alex Gaunt, Diana Borsa, Yoram Bachrach
2016	A*	`conf`	Using Convolutional Neural Networks to Analyze Function Properties from Images. AAAI Yoad Lewenberg, Yoram Bachrach, Ian A. Kash, Peter B. Key
2015	A	`conf`	Bitcoin Mining Pools: A Cooperative Game Theoretic Analysis. AAMAS Yoad Lewenberg, Yoram Bachrach, Yonatan Sompolinsky, Aviv Zohar, Jeffrey S. Rosenschein
2015	J	`jnl`	Fingerprints for highly similar streams. Inf. Comput. Yoram Bachrach, Ely Porat
2015	B	`conf`	Human judgments in hiring decisions based on online social network profiles. DSAA Yoram Bachrach
2015	A*	`conf`	Inferring Latent User Properties from Texts Published in Social Media. AAAI Svitlana Volkova, Yoram Bachrach, Michael Armstrong, Vijay Sharma
2015	A*	`conf`	Non-Myopic Negotiators See What's Best. IJCAI Yair Zick, Yoram Bachrach, Ian A. Kash, Peter B. Key
2015	J	`jnl`	On Predicting Sociodemographic Traits and Emotions from Communications in Social Networks and Their Implications to Online Self-Disclosure. Cyberpsychology Behav. Soc. Netw. Svitlana Volkova, Yoram Bachrach
2015	—	`conf`	Social Media Predictive Analytics. HLT-NAACL Svitlana Volkova, Benjamin Van Durme, David Yarowsky, Yoram Bachrach
2015	B	`conf`	Using emotions to predict user interest areas in online social networks. DSAA Yoad Lewenberg, Yoram Bachrach, Svitlana Volkova
2014	A	`conf`	Building a personalized tourist attraction recommender system using crowdsourcing. AAMAS Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, Filip Radlinski, Ely Porat, Michael Armstrong, Vijay Sharma
2014	A	`conf`	Cooperative max games and agent failures. AAMAS Yoram Bachrach, Rahul Savani, Nisarg Shah
2014	A	`conf`	Cooperative weakest link games. AAMAS Yoram Bachrach, Omer Lev, Shachar Lovett, Jeffrey S. Rosenschein, Morteza Zadimoghaddam
2014	J	`jnl`	False-Name Manipulations in Weighted Voting Games. CoRR Haris Aziz, Yoram Bachrach, Edith Elkind, Mike Paterson
2014	J	`jnl`	Manifestations of user personality in website choice and behaviour on online social networks. Mach. Learn. Michal Kosinski, Yoram Bachrach, Pushmeet Kohli, David Stillwell, Thore Graepel
2014	J	`jnl`	Optimising Trade-offs Among Stakeholders in Ad Auctions. CoRR Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, David Kurokawa
2014	A*	`conf`	Optimising trade-offs among stakeholders in ad auctions. EC Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, David Kurokawa
2014	J	`jnl`	Power Distribution in Randomized Weighted Voting: the Effects of the Quota. CoRR Joel Oren, Yuval Filmus, Yair Zick, Yoram Bachrach
2014	J	`jnl`	Sharing Rewards in Cooperative Connectivity Games. CoRR Yoram Bachrach, Ely Porat, Jeffrey S. Rosenschein
2014	A	`conf`	Speeding up the Xbox recommender system using a euclidean transformation for inner-product spaces. RecSys Yoram Bachrach, Yehuda Finkelstein, Ran Gilad-Bachrach, Liran Katzir, Noam Koenigstein, Nir Nice, Ulrich Paquet
2014	B	`conf`	Strong Price of Anarchy, Utility Games and Coalitional Dynamics. SAGT Yoram Bachrach, Vasilis Syrgkanis, Éva Tardos, Milan Vojnovic
2014	—	`conf`	Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model. ECML/PKDD (3) Bar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop
2014	A	`conf`	The cost of principles: analyzing power in compatibility weighted voting games. AAMAS Abigail See, Yoram Bachrach, Pushmeet Kohli
2014	A	`conf`	The shared assignment game and applications to pricing in cloud computing. AAMAS Gideon Blocq, Yoram Bachrach, Peter B. Key
2014	A	`conf`	Your digital image: factors behind demographic and psychometric predictions from social network profiles. AAMAS Yoram Bachrach, Thore Graepel, Pushmeet Kohli, Michal Kosinski, David Stillwell
2013	A*	`conf`	Agent Failures in All-Pay Auctions. IJCAI Yoad Lewenberg, Omer Lev, Yoram Bachrach, Jeffrey S. Rosenschein
2013	J	`jnl`	Computing cooperative solution concepts in coalitional skill games. Artif. Intell. Yoram Bachrach, David C. Parkes, Jeffrey S. Rosenschein
2013	—	`conf`	Contagion and observability in security domains. Allerton Yoram Bachrach, Moez Draief, Sanjeev Goyal
2013	B	`conf`	Dwelling on the Negative: Incentivizing Effort in Peer Prediction. HCOMP Jens Witkowski, Yoram Bachrach, Peter B. Key, David C. Parkes
2013	A*	`conf`	Hotspotting - A Probabilistic Graphical Model For Image Object Localization Through Crowdsourcing. AAAI Mahyar Salek, Yoram Bachrach, Peter B. Key
2013	—	`conf`	Incentives and Efficiency in Uncertain Collaborative Environments. WINE Yoram Bachrach, Vasilis Syrgkanis, Milan Vojnovic
2013	J	`jnl`	Incentives and Efficiency in Uncertain Collaborative Environments. CoRR Yoram Bachrach, Vasilis Syrgkanis, Milan Vojnovic
2013	A	`conf`	Mergers and collusion in all-pay auctions and crowdsourcing contests. AAMAS Omer Lev, Maria Polukarov, Yoram Bachrach, Jeffrey S. Rosenschein
2013	A*	`conf`	Optimal Coalition Structure Generation in Cooperative Graph Games. AAAI Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam
2013	J	`jnl`	Proof systems and transformation games. Ann. Math. Artif. Intell. Yoram Bachrach, Michael Zuckerman, Michael J. Wooldridge, Jeffrey S. Rosenschein
2013	B	`conf`	Reliability Weighted Voting Games. SAGT Yoram Bachrach, Nisarg Shah
2013	J	`jnl`	Sharing Rewards in Cooperative Connectivity Games. J. Artif. Intell. Res. Yoram Bachrach, Ely Porat, Jeffrey S. Rosenschein
2013	—	`conf`	Sketching for Big Data Recommender Systems Using Fast Pseudo-random Fingerprints. ICALP (2) Yoram Bachrach, Ely Porat
2013	J	`jnl`	Strong Price of Anarchy and Coalitional Dynamics. CoRR Yoram Bachrach, Vasilis Syrgkanis, Éva Tardos, Milan Vojnovic
2012	—	`conf`	Agent Failures in Totally Balanced Games and Convex Games. WINE Yoram Bachrach, Ian A. Kash, Nisarg Shah
2012	—	`conf`	Colonel Blotto on Facebook: the effect of social relations on strategic interaction. WebSci Pushmeet Kohli, Michael J. Kearns, Yoram Bachrach, Ralf Herbrich, David Stillwell, Thore Graepel
2012	A*	`conf`	Congestion Games with Agent Failures. AAAI Reshef Meir, Moshe Tennenholtz, Yoram Bachrach, Peter B. Key
2012	A	`conf`	Crowd IQ: aggregating opinions to boost performance. AAMAS Yoram Bachrach, Thore Graepel, Gjergji Kasneci, Michal Kosinski, Jurgen Van Gael
2012	—	`conf`	Crowd IQ: measuring the intelligence of crowdsourcing platforms. WebSci Michal Kosinski, Yoram Bachrach, Gjergji Kasneci, Jurgen Van Gael, Thore Graepel
2012	A*	`conf`	How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing. ICML Yoram Bachrach, Thore Graepel, Tom Minka, John Guiver
2012	J	`jnl`	Manipulating the quota in weighted voting games. Artif. Intell. Michael Zuckerman, Piotr Faliszewski, Yoram Bachrach, Edith Elkind
2012	—	`conf`	Personality and patterns of Facebook usage. WebSci Yoram Bachrach, Michal Kosinski, Thore Graepel, Pushmeet Kohli, David Stillwell
2012	A*	`conf`	Quality Expectation-Variance Tradeoffs in Crowdsourcing Contests. AAAI Xi Alice Gao, Yoram Bachrach, Peter B. Key, Thore Graepel
2012	J	`jnl`	Solving Cooperative Reliability Games CoRR Yoram Bachrach, Reshef Meir, Michal Feldman, Moshe Tennenholtz
2011	J	`jnl`	A cooperative approach to collusion in auctions. SIGecom Exch. Yoram Bachrach, Morteza Zadimoghaddam, Peter B. Key
2011	A*	`conf`	Coalitional Voting Manipulation: A Game-Theoretic Perspective. IJCAI Yoram Bachrach, Edith Elkind, Piotr Faliszewski
2011	J	`jnl`	False-Name Manipulations in Weighted Voting Games. J. Artif. Intell. Res. Haris Aziz, Yoram Bachrach, Edith Elkind, Mike Paterson
2011	J	`jnl`	Optimal Coalition Structures in Graph Games CoRR Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam
2011	A	`conf`	Rip-off: playing the cooperative negotiation game. AAMAS Yoram Bachrach, Pushmeet Kohli, Thore Graepel
2011	A	`conf`	Solving Cooperative Reliability Games. UAI Yoram Bachrach, Reshef Meir, Michal Feldman, Moshe Tennenholtz
2011	A	`conf`	Team coverage games. AAMAS Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov
2011	B	`conf`	The Least-Core of Threshold Network Flow Games. MFCS Yoram Bachrach
2010	J	`jnl`	Approximating power indices: theoretical and empirical analysis. Auton. Agents Multi Agent Syst. Yoram Bachrach, Evangelos Markakis, Ezra Resnick, Ariel D. Procaccia, Jeffrey S. Rosenschein, Amin Saberi
2010	A*	`conf`	Coalitional Structure Generation in Skill Games. AAAI Yoram Bachrach, Reshef Meir, Kyomin Jung, Pushmeet Kohli
2010	—	`conf`	Collusion in VCG Path Procurement Auctions. WINE Yoram Bachrach, Peter B. Key, Morteza Zadimoghaddam
2010	J	`jnl`	Fast Pseudo-Random Fingerprints CoRR Yoram Bachrach, Ely Porat
2010	C	`conf`	Fingerprinting Ratings for Collaborative Filtering - Theoretical and Empirical Analysis. SPIRE Yoram Bachrach, Ralf Herbrich
2010	A	`conf`	Honor among thieves: collusion in multi-unit auctions. AAMAS Yoram Bachrach
2010	B	`conf`	Minimal Subsidies in Expense Sharing Games. SAGT Reshef Meir, Yoram Bachrach, Jeffrey S. Rosenschein
2010	A	`conf`	Path disruption games. AAMAS Yoram Bachrach, Ely Porat
2010	A*	`conf`	Probabilistic Possible Winner Determination. AAAI Yoram Bachrach, Nadja Betzler, Piotr Faliszewski
2010	B	`conf`	Proof Systems and Transformation Games. MFCS Yoram Bachrach, Michael Zuckerman, Michael J. Wooldridge, Jeffrey S. Rosenschein
2010	—	`conf`	The Good, The Bad and The Cautious: Safety Level Cooperative Games. WINE Yoram Bachrach, Maria Polukarov, Nicholas R. Jennings
2009	J	`jnl`	Effort Games and the Price of Myopia. Math. Log. Q. Yoram Bachrach, Michael Zuckerman, Jeffrey S. Rosenschein
2009	J	`jnl`	Gossip-based aggregation of trust in decentralized reputation systems. Auton. Agents Multi Agent Syst. Yoram Bachrach, Ariel Parnes, Ariel D. Procaccia, Jeffrey S. Rosenschein
2009	J	`jnl`	Power in threshold network flow games. Auton. Agents Multi Agent Syst. Yoram Bachrach, Jeffrey S. Rosenschein
2009	C	`conf`	Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems. SPIRE Yoram Bachrach, Ralf Herbrich, Ely Porat
2009	A*	`conf`	Sketching Techniques for Collaborative Filtering. IJCAI Yoram Bachrach, Ely Porat, Jeffrey S. Rosenschein
2009	J	`jnl`	The Cost of Stability in Coalitional Games CoRR Yoram Bachrach, Edith Elkind, Reshef Meir, Dmitrii V. Pasechnik, Michael Zuckerman, Jörg Rothe, Jeffrey S. Rosenschein
2009	B	`conf`	The Cost of Stability in Coalitional Games. SAGT Yoram Bachrach, Edith Elkind, Reshef Meir, Dmitrii V. Pasechnik, Michael Zuckerman, Jörg Rothe, Jeffrey S. Rosenschein
2009	B	`conf`	The Cost of Stability in Network Flow Games. MFCS Ezra Resnick, Yoram Bachrach, Reshef Meir, Jeffrey S. Rosenschein
2009	—	`conf`	The cost of stability in weighted voting games. AAMAS (2) Yoram Bachrach, Reshef Meir, Michael Zuckerman, Jörg Rothe, Jeffrey S. Rosenschein
2008	—	`conf`	Approximating power indices. AAMAS (2) Yoram Bachrach, Evangelos Markakis, Ariel D. Procaccia, Jeffrey S. Rosenschein, Amin Saberi
2008	—	`conf`	Coalitional skill games. AAMAS (2) Yoram Bachrach, Jeffrey S. Rosenschein
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	—	`conf`	Distributed multiagent resource allocation in diminishing marginal return domains. AAMAS (2) Yoram Bachrach, Jeffrey S. Rosenschein
2008	—	`conf`	Divide and conquer: false-name manipulations in weighted voting games. AAMAS (2) Yoram Bachrach, Edith Elkind
2008	—	`conf`	Incentives in effort games. AAMAS (3) Yoram Bachrach, Jeffrey S. Rosenschein
2008	A*	`conf`	Manipulating the Quota in Weighted Voting Games. AAAI Michael Zuckerman, Piotr Faliszewski, Yoram Bachrach, Edith Elkind
2008	—	`conf`	Power and stability in connectivity games. AAMAS (2) Yoram Bachrach, Jeffrey S. Rosenschein, Ely Porat
2007	A	`conf`	Computing the Banzhaf power index in network flow games. AAMAS Yoram Bachrach, Jeffrey S. Rosenschein
2007	A*	`conf`	Gossip-Based Aggregation of Trust in Decentralized Reputation Systems. IJCAI Ariel D. Procaccia, Yoram Bachrach, Jeffrey S. Rosenschein
2005	A*	`conf`	Achieving Allocatively-Efficient and Strongly Budget-Balanced Mechanisms in the Network Flow Domain for Bounded-Rational Agents. IJCAI Yoram Bachrach, Jeffrey S. Rosenschein
2005	—	`conf`	Achieving Allocatively-Efficient and Strongly Budget-Balanced Mechanisms in the Network Flow Domain for Bounded-Rational Agents. AMEC@AAMAS/TADA@IJCAI Yoram Bachrach, Jeffrey S. Rosenschein