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ORCIDYoram Bachrach
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- affiliation: Google DeepMind
- affiliation (former): Microsoft Research
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2020 – today
- 2024
[c102]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: 669-678- [c101]Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman:
Pruning Neural Networks Using Cooperative Game Theory. AAMAS 2024: 2243-2245 - [i36]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 abs/2402.01704 (2024) - [i35]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 abs/2402.03928 (2024) - 2023
- [c100]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: 2445-2447 - [c99]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 - [i34]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 abs/2302.00797 (2023) - [i33]Stefan Hödl, William Robinson, Yoram Bachrach, Wilhelm Huck, Tal Kachman:
Explainability Techniques for Chemical Language Models. CoRR abs/2305.16192 (2023) - [i32]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 abs/2310.10553 (2023) - [i31]Mauricio Diaz-Ortiz Jr., Benjamin Kempinski, Daphne Cornelisse, Yoram Bachrach, Tal Kachman:
Using Cooperative Game Theory to Prune Neural Networks. CoRR abs/2311.10468 (2023) - [i30]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 abs/2312.03121 (2023) - 2022
- [j21]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:
Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. 35(4): 271-284 (2022) - [c98]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: 5286-5294 - [c97]Ian 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: 498-506 - [c96]Ian 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: 507-515 - [c95]Daphne Cornelisse, Thomas Rood, Yoram Bachrach, Mateusz Malinowski, Tal Kachman:
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. NeurIPS 2022 - [c94]Elise van der Pol, Ian Gemp, Yoram Bachrach:
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. TAG-ML 2022: 304-311 - [i29]Elise van der Pol, Ian Gemp, Yoram Bachrach, Richard Everett:
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering. CoRR abs/2207.14589 (2022) - [i28]Daphne Cornelisse, Thomas Rood, Mateusz Malinowski, Yoram Bachrach, Tal Kachman:
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members. CoRR abs/2208.08798 (2022) - [i27]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:
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR abs/2209.10958 (2022) - 2021
- [j20]Justin Fu, Andrea Tacchetti, Julien Pérolat, Yoram Bachrach:
Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning. J. Artif. Intell. Res. 71: 925-951 (2021) - [c93]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: 2548-2556 - [c92]Yoram Bachrach, Ian 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: 4976-4979 - [c91]Roma Patel, Marta Garnelo, Ian Gemp, Chris Dyer, Yoram Bachrach:
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index. NAACL-HLT 2021: 2789-2798 - [i26]Ian 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 abs/2106.01285 (2021) - [i25]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 abs/2110.11404 (2021) - [i24]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 abs/2112.06751 (2021) - 2020
- [j19]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: 103356 (2020) - [j18]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): 73:1-73:20 (2020) - [c90]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: 538-547 - [c89]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:
Learning to Play No-Press Diplomacy with Best Response Policy Iteration. NeurIPS 2020 - [i23]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 abs/2002.05820 (2020) - [i22]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 abs/2003.00799 (2020) - [i21]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:
Learning to Play No-Press Diplomacy with Best Response Policy Iteration. CoRR abs/2006.04635 (2020) - [i20]Ian 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 abs/2010.00575 (2020) - [i19]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 abs/2010.10380 (2020) - [i18]Allan Dafoe, Edward Hughes, Yoram Bachrach, Tantum Collins, Kevin R. McKee, Joel Z. Leibo, Kate Larson, Thore Graepel:
Open Problems in Cooperative AI. CoRR abs/2012.08630 (2020)
2010 – 2019
- 2019
- [j17]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): 192-215 (2019) - [j16]Yuval Filmus, Joel Oren, Yair Zick, Yoram Bachrach:
Analyzing Power in Weighted Voting Games with Super-Increasing Weights. Theory Comput. Syst. 63(1): 150-174 (2019) - [c88]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: 1134-1142 - [c87]Aldo Pacchiano, Yoram Bachrach:
Computing Stable Solutions in Threshold Network Flow Games With Bounded Treewidth. AAMAS 2019: 2153-2155 - [c86]David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel:
Open-ended learning in symmetric zero-sum games. ICML 2019: 434-443 - [c85]Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel:
Biases for Emergent Communication in Multi-agent Reinforcement Learning. NeurIPS 2019: 13111-13121 - [i17]David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech M. Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel:
Open-ended Learning in Symmetric Zero-sum Games. CoRR abs/1901.08106 (2019) - [i16]Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach:
A Neural Architecture for Designing Truthful and Efficient Auctions. CoRR abs/1907.05181 (2019) - [i15]Tom Eccles, Yoram Bachrach, Guy Lever, Angeliki Lazaridou, Thore Graepel:
Biases for Emergent Communication in Multi-agent Reinforcement Learning. CoRR abs/1912.05676 (2019) - 2018
- [j15]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: 987-1023 (2018) - [c84]Andrej Zukov Gregoric, Yoram Bachrach, Sam Coope:
Named Entity Recognition With Parallel Recurrent Neural Networks. ACL (2) 2018: 69-74 - [c83]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: 676-691 - 2017
- [j14]Yoad Lewenberg, Omer Lev, Yoram Bachrach, Jeffrey S. Rosenschein:
Agent Failures in All-Pay Auctions. IEEE Intell. Syst. 32(1): 8-16 (2017) - [c82]Yoad Lewenberg, Yoram Bachrach, Ulrich Paquet, Jeffrey S. Rosenschein:
Knowing What to Ask: A Bayesian Active Learning Approach to the Surveying Problem. AAAI 2017: 1396-1402 - [c81]Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter:
Batch Policy Gradient Methods for Improving Neural Conversation Models. ICLR (Poster) 2017 - [c80]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: 425-432 - [c79]Andrej Zukov Gregoric, Yoram Bachrach, Pasha Minkovsky, Sam Coope, Bogdan Maksak:
Neural Named Entity Recognition Using a Self-Attention Mechanism. ICTAI 2017: 652-656 - [c78]Yair Zick, Kobi Gal, Yoram Bachrach, Moshe Mash:
How to Form Winning Coalitions in Mixed Human-Computer Settings. IJCAI 2017: 465-471 - [i14]Kirthevasan Kandasamy, Yoram Bachrach, Ryota Tomioka, Daniel Tarlow, David Carter:
Batch Policy Gradient Methods for Improving Neural Conversation Models. CoRR abs/1702.03334 (2017) - [i13]Yoad Lewenberg, Omer Lev, Yoram Bachrach, Jeffrey S. Rosenschein:
Agent Failures in All-Pay Auctions. CoRR abs/1702.04138 (2017) - [i12]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 abs/1707.01378 (2017) - 2016
- [c77]Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Alfredo Kalaitzis, Michael Fagan, Dean Carignan, Nitin Gautam:
Predicting Gaming Related Properties from Twitter Accounts. AAAI 2016: 4357-4358 - [c76]Yoad Lewenberg, Yoram Bachrach, Ian A. Kash, Peter B. Key:
Using Convolutional Neural Networks to Analyze Function Properties from Images. AAAI 2016: 4363-4364 - [c75]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: 4365-4366 - [c74]Svitlana Volkova, Yoram Bachrach:
Inferring Perceived Demographics from User Emotional Tone and User-Environment Emotional Contrast. ACL (1) 2016 - [c73]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: 1359-1360 - [c72]Alfredo Kalaitzis, Maria Ivanova Gorinova, Yoad Lewenberg, Yoram Bachrach, Michael Fagan, Dean Carignan, Nitin Gautam:
Predicting Gaming Related Properties from Twitter Profiles. BigDataService 2016: 28-35 - [c71]Svitlana Volkova, Yoram Bachrach, Benjamin Van Durme:
Mining User Interests to Predict Perceived Psycho-Demographic Traits on Twitter. BigDataService 2016: 36-43 - [c70]Yoram Bachrach, Yuval Filmus, Joel Oren, Yair Zick:
A Characterization of Voting Power for Discrete Weight Distributions. IJCAI 2016: 74-80 - [c69]Yoram Bachrach, Omer Lev, Yoad Lewenberg, Yair Zick:
Misrepresentation in District Voting. IJCAI 2016: 81-87 - [c68]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: 1676-1682 - [c67]Yoram Bachrach, Yuval Filmus, Joel Oren, Yair Zick:
Analyzing Power in Weighted Voting Games with Super-Increasing Weights. SAGT 2016: 169-181 - [c66]Alex Gaunt, Diana Borsa, Yoram Bachrach:
Training Neural Nets to Aggregate Crowdsourced Responses. UAI 2016 - [c65]Yoad Lewenberg, Yoram Bachrach, Lucas Bordeaux, Pushmeet Kohli:
Political Dimensionality Estimation Using a Probabilistic Graphical Model. UAI 2016 - [c64]Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, Mohammad Reza Khani:
Mechanism Design for Mixed Bidders. WWW 2016: 215-225 - [i11]Yoad Lewenberg, Yoram Bachrach, Sukrit Shankar, Antonio Criminisi:
Predicting Personal Traits from Facial Images using Convolutional Neural Networks Augmented with Facial Landmark Information. CoRR abs/1605.09062 (2016) - 2015
- [j13]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): 726-736 (2015) - [j12]Yoram Bachrach, Ely Porat:
Fingerprints for highly similar streams. Inf. Comput. 244: 113-121 (2015) - [c63]Svitlana Volkova, Yoram Bachrach, Michael Armstrong, Vijay Sharma:
Inferring Latent User Properties from Texts Published in Social Media. AAAI 2015: 4296-4297 - [c62]Yoad Lewenberg, Yoram Bachrach, Yonatan Sompolinsky, Aviv Zohar, Jeffrey S. Rosenschein:
Bitcoin Mining Pools: A Cooperative Game Theoretic Analysis. AAMAS 2015: 919-927 - [c61]Yoram Bachrach:
Human judgments in hiring decisions based on online social network profiles. DSAA 2015: 1-10 - [c60]Yoad Lewenberg, Yoram Bachrach, Svitlana Volkova:
Using emotions to predict user interest areas in online social networks. DSAA 2015: 1-10 - [c59]Yair Zick, Yoram Bachrach, Ian A. Kash, Peter B. Key:
Non-Myopic Negotiators See What's Best. IJCAI 2015: 2047-2054 - [c58]Svitlana Volkova, Benjamin Van Durme, David Yarowsky, Yoram Bachrach:
Social Media Predictive Analytics. HLT-NAACL 2015: 9 - 2014
- [j11]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): 357-380 (2014) - [c57]Yoram Bachrach, Rahul Savani, Nisarg Shah:
Cooperative max games and agent failures. AAMAS 2014: 29-36 - [c56]Abigail See, Yoram Bachrach, Pushmeet Kohli:
The cost of principles: analyzing power in compatibility weighted voting games. AAMAS 2014: 37-44 - [c55]Yoram Bachrach, Omer Lev, Shachar Lovett, Jeffrey S. Rosenschein, Morteza Zadimoghaddam:
Cooperative weakest link games. AAMAS 2014: 589-596 - [c54]Gideon Blocq, Yoram Bachrach, Peter B. Key:
The shared assignment game and applications to pricing in cloud computing. AAMAS 2014: 605-612 - [c53]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: 1631-1632 - [c52]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: 1649-1650 - [c51]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: 82-97 - [c50]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: 257-264 - [c49]Yoram Bachrach, Vasilis Syrgkanis, Éva Tardos, Milan Vojnovic:
Strong Price of Anarchy, Utility Games and Coalitional Dynamics. SAGT 2014: 218-230 - [c48]Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, David Kurokawa:
Optimising trade-offs among stakeholders in ad auctions. EC 2014: 75-92 - [i10]Haris Aziz, Yoram Bachrach, Edith Elkind, Mike Paterson:
False-Name Manipulations in Weighted Voting Games. CoRR abs/1401.3869 (2014) - [i9]Yoram Bachrach, Ely Porat, Jeffrey S. Rosenschein:
Sharing Rewards in Cooperative Connectivity Games. CoRR abs/1402.0572 (2014) - [i8]Yoram Bachrach, Sofia Ceppi, Ian A. Kash, Peter B. Key, David Kurokawa:
Optimising Trade-offs Among Stakeholders in Ad Auctions. CoRR abs/1404.5127 (2014) - [i7]Joel Oren, Yuval Filmus, Yair Zick, Yoram Bachrach:
Power Distribution in Randomized Weighted Voting: the Effects of the Quota. CoRR abs/1408.0442 (2014) - 2013
- [j10]Yoram Bachrach, David C. Parkes, Jeffrey S. Rosenschein:
Computing cooperative solution concepts in coalitional skill games. Artif. Intell. 204: 1-21 (2013) - [j9]Yoram Bachrach, Michael Zuckerman, Michael J. Wooldridge, Jeffrey S. Rosenschein:
Proof systems and transformation games. Ann. Math. Artif. Intell. 67(1): 1-30 (2013) - [j8]Yoram Bachrach, Ely Porat, Jeffrey S. Rosenschein:
Sharing Rewards in Cooperative Connectivity Games. J. Artif. Intell. Res. 47: 281-311 (2013) - [c47]Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam:
Optimal Coalition Structure Generation in Cooperative Graph Games. AAAI 2013: 81-87 - [c46]Mahyar Salek, Yoram Bachrach, Peter B. Key:
Hotspotting - A Probabilistic Graphical Model For Image Object Localization Through Crowdsourcing. AAAI 2013: 1156-1162 - [c45]Yoram Bachrach, Moez Draief, Sanjeev Goyal:
Contagion and observability in security domains. Allerton 2013: 1364-1371 - [c44]Omer Lev, Maria Polukarov, Yoram Bachrach, Jeffrey S. Rosenschein:
Mergers and collusion in all-pay auctions and crowdsourcing contests. AAMAS 2013: 675-682 - [c43]Jens Witkowski, Yoram Bachrach, Peter B. Key, David C. Parkes:
Dwelling on the Negative: Incentivizing Effort in Peer Prediction. HCOMP 2013: 190-197 - [c42]Yoram Bachrach, Ely Porat:
Sketching for Big Data Recommender Systems Using Fast Pseudo-random Fingerprints. ICALP (2) 2013: 459-471 - [c41]Yoad Lewenberg, Omer Lev, Yoram Bachrach, Jeffrey S. Rosenschein:
Agent Failures in All-Pay Auctions. IJCAI 2013: 241-247 - [c40]Yoram Bachrach, Nisarg Shah:
Reliability Weighted Voting Games. SAGT 2013: 38-49 - [c39]Yoram Bachrach, Vasilis Syrgkanis, Milan Vojnovic:
Incentives and Efficiency in Uncertain Collaborative Environments. WINE 2013: 26-39 - [i6]Yoram Bachrach, Vasilis Syrgkanis, Éva Tardos, Milan Vojnovic:
Strong Price of Anarchy and Coalitional Dynamics. CoRR abs/1307.2537 (2013) - [i5]Yoram Bachrach, Vasilis Syrgkanis, Milan Vojnovic:
Incentives and Efficiency in Uncertain Collaborative Environments. CoRR abs/1308.0990 (2013) - 2012
- [j7]Michael Zuckerman, Piotr Faliszewski, Yoram Bachrach, Edith Elkind:
Manipulating the quota in weighted voting games. Artif. Intell. 180-181: 1-19 (2012) - [c38]Xi Alice Gao, Yoram Bachrach, Peter B. Key, Thore Graepel:
Quality Expectation-Variance Tradeoffs in Crowdsourcing Contests. AAAI 2012: 38-44 - [c37]Reshef Meir, Moshe Tennenholtz, Yoram Bachrach, Peter B. Key:
Congestion Games with Agent Failures. AAAI 2012: 1401-1407 - [c36]Yoram Bachrach, Thore Graepel, Gjergji Kasneci, Michal Kosinski, Jurgen Van Gael:
Crowd IQ: aggregating opinions to boost performance. AAMAS 2012: 535-542 - [c35]Yoram Bachrach, Thore Graepel, Tom Minka, John Guiver:
How To Grade a Test Without Knowing the Answers - A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing. ICML 2012 - [c34]Yoram Bachrach, Michal Kosinski, Thore Graepel, Pushmeet Kohli, David Stillwell:
Personality and patterns of Facebook usage. WebSci 2012: 24-32 - [c33]Pushmeet Kohli, Michael J. Kearns, Yoram Bachrach, Ralf Herbrich, David Stillwell, Thore Graepel:
Colonel Blotto on Facebook: the effect of social relations on strategic interaction. WebSci 2012: 141-150 - [c32]Michal Kosinski, Yoram Bachrach, Gjergji Kasneci, Jurgen Van Gael, Thore Graepel:
Crowd IQ: measuring the intelligence of crowdsourcing platforms. WebSci 2012: 151-160 - [c31]Yoram Bachrach, Ian A. Kash, Nisarg Shah:
Agent Failures in Totally Balanced Games and Convex Games. WINE 2012: 15-29 - [i4]Yoram Bachrach, Reshef Meir, Michal Feldman, Moshe Tennenholtz:
Solving Cooperative Reliability Games. CoRR abs/1202.3700 (2012) - 2011
- [j6]Haris Aziz, Yoram Bachrach, Edith Elkind, Mike Paterson:
False-Name Manipulations in Weighted Voting Games. J. Artif. Intell. Res. 40: 57-93 (2011) - [j5]Yoram Bachrach, Morteza Zadimoghaddam, Peter B. Key:
A cooperative approach to collusion in auctions. SIGecom Exch. 10(1): 17-22 (2011) - [c30]Yoram Bachrach, Pushmeet Kohli, Thore Graepel:
Rip-off: playing the cooperative negotiation game. AAMAS 2011: 1179-1180 - [c29]Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov:
Team coverage games. AAMAS 2011: 1197-1198 - [c28]Yoram Bachrach, Edith Elkind, Piotr Faliszewski:
Coalitional Voting Manipulation: A Game-Theoretic Perspective. IJCAI 2011: 49-54 - [c27]Yoram Bachrach:
The Least-Core of Threshold Network Flow Games. MFCS 2011: 36-47 - [c26]Yoram Bachrach, Reshef Meir, Michal Feldman, Moshe Tennenholtz:
Solving Cooperative Reliability Games. UAI 2011: 27-34 - [i3]Yoram Bachrach, Pushmeet Kohli, Vladimir Kolmogorov, Morteza Zadimoghaddam:
Optimal Coalition Structures in Graph Games. CoRR abs/1108.5248 (2011) - 2010
- [j4]Yoram Bachrach, Evangelos Markakis, Ezra Resnick, Ariel D. Procaccia, Jeffrey S. Rosenschein, Amin Saberi:
Approximating power indices: theoretical and empirical analysis. Auton. Agents Multi Agent Syst. 20(2): 105-122 (2010) - [c25]Yoram Bachrach, Nadja Betzler, Piotr Faliszewski:
Probabilistic Possible Winner Determination. AAAI 2010: 697-702 - [c24]Yoram Bachrach, Reshef Meir, Kyomin Jung, Pushmeet Kohli:
Coalitional Structure Generation in Skill Games. AAAI 2010: 703-708 - [c23]Yoram Bachrach:
Honor among thieves: collusion in multi-unit auctions. AAMAS 2010: 617-624 - [c22]Yoram Bachrach, Ely Porat:
Path disruption games. AAMAS 2010: 1123-1130 - [c21]Yoram Bachrach, Michael Zuckerman, Michael J. Wooldridge, Jeffrey S. Rosenschein:
Proof Systems and Transformation Games. MFCS 2010: 78-89 - [c20]Reshef Meir, Yoram Bachrach, Jeffrey S. Rosenschein:
Minimal Subsidies in Expense Sharing Games. SAGT 2010: 347-358 - [c19]Yoram Bachrach, Ralf Herbrich:
Fingerprinting Ratings for Collaborative Filtering - Theoretical and Empirical Analysis. SPIRE 2010: 25-36 - [c18]Yoram Bachrach, Peter B. Key, Morteza Zadimoghaddam:
Collusion in VCG Path Procurement Auctions. WINE 2010: 38-49 - [c17]Yoram Bachrach, Maria Polukarov, Nicholas R. Jennings:
The Good, The Bad and The Cautious: Safety Level Cooperative Games. WINE 2010: 432-443 - [i2]Yoram Bachrach, Ely Porat:
Fast Pseudo-Random Fingerprints. CoRR abs/1009.5791 (2010)
2000 – 2009
- 2009
- [j3]Yoram Bachrach, Jeffrey S. Rosenschein:
Power in threshold network flow games. Auton. Agents Multi Agent Syst. 18(1): 106-132 (2009) - [j2]Yoram Bachrach, Ariel Parnes, Ariel D. Procaccia, Jeffrey S. Rosenschein:
Gossip-based aggregation of trust in decentralized reputation systems. Auton. Agents Multi Agent Syst. 19(2): 153-172 (2009) - [j1]Yoram Bachrach, Michael Zuckerman, Jeffrey S. Rosenschein:
Effort Games and the Price of Myopia. Math. Log. Q. 55(4): 377-396 (2009) - [c16]Yoram Bachrach, Reshef Meir, Michael Zuckerman, Jörg Rothe, Jeffrey S. Rosenschein:
The cost of stability in weighted voting games. AAMAS (2) 2009: 1289-1290 - [c15]Yoram Bachrach, Ely Porat, Jeffrey S. Rosenschein:
Sketching Techniques for Collaborative Filtering. IJCAI 2009: 2016-2021 - [c14]Ezra Resnick, Yoram Bachrach, Reshef Meir, Jeffrey S. Rosenschein:
The Cost of Stability in Network Flow Games. MFCS 2009: 636-650 - [c13]Yoram Bachrach, Edith Elkind, Reshef Meir, Dmitrii V. Pasechnik, Michael Zuckerman, Jörg Rothe, Jeffrey S. Rosenschein:
The Cost of Stability in Coalitional Games. SAGT 2009: 122-134 - [c12]Yoram Bachrach, Ralf Herbrich, Ely Porat:
Sketching Algorithms for Approximating Rank Correlations in Collaborative Filtering Systems. SPIRE 2009: 344-352 - [i1]Yoram Bachrach, Edith Elkind, Reshef Meir, Dmitrii V. Pasechnik, Michael Zuckerman, Jörg Rothe, Jeffrey S. Rosenschein:
The Cost of Stability in Coalitional Games. CoRR abs/0907.4385 (2009) - 2008
- [b1]Yoram Bachrach:
Computational aspects of power and stability in cooperative domains (עם תקציר בעברית, תכן ושער נוסף: היבטים חישוביים של כוח ויציבות בסביבות שיתופיות.). Hebrew University of Jerusalem, Israel, 2008 - [c11]Michael Zuckerman, Piotr Faliszewski, Yoram Bachrach, Edith Elkind:
Manipulating the Quota in Weighted Voting Games. AAAI 2008: 215-220 - [c10]Yoram Bachrach, Evangelos Markakis, Ariel D. Procaccia, Jeffrey S. Rosenschein, Amin Saberi:
Approximating power indices. AAMAS (2) 2008: 943-950 - [c9]Yoram Bachrach, Edith Elkind:
Divide and conquer: false-name manipulations in weighted voting games. AAMAS (2) 2008: 975-982 - [c8]Yoram Bachrach, Jeffrey S. Rosenschein, Ely Porat:
Power and stability in connectivity games. AAMAS (2) 2008: 999-1006 - [c7]Yoram Bachrach, Jeffrey S. Rosenschein:
Coalitional skill games. AAMAS (2) 2008: 1023-1030 - [c6]Yoram Bachrach, Jeffrey S. Rosenschein:
Distributed multiagent resource allocation in diminishing marginal return domains. AAMAS (2) 2008: 1103-1110 - [c5]Yoram Bachrach, Jeffrey S. Rosenschein:
Incentives in effort games. AAMAS (3) 2008: 1557-1560 - 2007
- [c4]Yoram Bachrach, Jeffrey S. Rosenschein:
Computing the Banzhaf power index in network flow games. AAMAS 2007: 254 - [c3]Ariel D. Procaccia, Yoram Bachrach, Jeffrey S. Rosenschein:
Gossip-Based Aggregation of Trust in Decentralized Reputation Systems. IJCAI 2007: 1470-1475 - 2005
- [c2]Yoram Bachrach, Jeffrey S. Rosenschein:
Achieving Allocatively-Efficient and Strongly Budget-Balanced Mechanisms in the Network Flow Domain for Bounded-Rational Agents. AMEC@AAMAS/TADA@IJCAI 2005: 71-84 - [c1]Yoram Bachrach, Jeffrey S. Rosenschein:
Achieving Allocatively-Efficient and Strongly Budget-Balanced Mechanisms in the Network Flow Domain for Bounded-Rational Agents. IJCAI 2005: 1653-1654
Coauthor Index
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