| Personality and Patterns of Facebook Usage Y Bachrach, M Kosinski, T Graepel, P Kohli, D Stillwell ACM Web Sciences, 2012 | 677 | 2012 |
| Manifestations of user personality in website choice and behaviour on online social networks M Kosinski, Y Bachrach, P Kohli, D Stillwell, T Graepel Machine learning 95, 357-380, 2014 | 460 | 2014 |
| Bitcoin mining pools: A cooperative game theoretic analysis Y Lewenberg, Y Bachrach, Y Sompolinsky, A Zohar, JS Rosenschein Proceedings of the 2015 international conference on autonomous agents and …, 2015 | 348 | 2015 |
| Studying user income through language, behaviour and affect in social media D Preoţiuc-Pietro, S Volkova, V Lampos, Y Bachrach, N Aletras PloS one 10 (9), e0138717, 2015 | 286 | 2015 |
| Open problems in cooperative ai A Dafoe, E Hughes, Y Bachrach, T Collins, KR McKee, JZ Leibo, K Larson, ... arXiv preprint arXiv:2012.08630, 2020 | 262 | 2020 |
| How To Grade a Test Without Knowing the Answers---A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing Y Bachrach, T Graepel, T Minka, J Guiver ICML 2012, 2012 | 255 | 2012 |
| Cooperative AI: machines must learn to find common ground A Dafoe, Y Bachrach, G Hadfield, E Horvitz, K Larson, T Graepel Nature 593 (7857), 33-36, 2021 | 253 | 2021 |
| Approximating power indices: theoretical and empirical analysis Y Bachrach, E Markakis, E Resnick, AD Procaccia, JS Rosenschein, ... Autonomous Agents and Multi-Agent Systems 20 (2), 105-122, 2010 | 231 | 2010 |
| Open-ended learning in symmetric zero-sum games D Balduzzi, M Garnelo, Y Bachrach, W Czarnecki, J Perolat, M Jaderberg, ... International Conference on Machine Learning, 434-443, 2019 | 202 | 2019 |
| Speeding up the xbox recommender system using a euclidean transformation for inner-product spaces Y Bachrach, Y Finkelstein, R Gilad-Bachrach, L Katzir, N Koenigstein, ... Proceedings of the 8th ACM Conference on Recommender systems, 257-264, 2014 | 197 | 2014 |
| Inferring latent user properties from texts published in social media S Volkova, Y Bachrach, M Armstrong, V Sharma Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 195 | 2015 |
| The cost of stability in coalitional games Y Bachrach, E Elkind, R Meir, D Pasechnik, M Zuckerman, J Rothe, ... Algorithmic Game Theory, 122-134, 2009 | 130 | 2009 |
| Coalitional skill games Y Bachrach, JS Rosenschein Proceedings of the 7th international joint conference on Autonomous agents …, 2008 | 124 | 2008 |
| On predicting sociodemographic traits and emotions from communications in social networks and their implications to online self-disclosure S Volkova, Y Bachrach Cyberpsychology, Behavior, and Social Networking 18 (12), 726-736, 2015 | 108 | 2015 |
| Manipulating the quota in weighted voting games M Zuckerman, P Faliszewski, Y Bachrach, E Elkind Artificial Intelligence 180, 1-19, 2012 | 97 | 2012 |
| Optimal coalition structure generation in cooperative graph games Y Bachrach, P Kohli, V Kolmogorov, M Zadimoghaddam Proceedings of the AAAI Conference on Artificial Intelligence 27 (1), 81-87, 2013 | 92 | 2013 |
| Biases for emergent communication in multi-agent reinforcement learning T Eccles, Y Bachrach, G Lever, A Lazaridou, T Graepel Advances in neural information processing systems 32, 2019 | 89 | 2019 |
| Dwelling on the negative: Incentivizing effort in peer prediction J Witkowski, Y Bachrach, P Key, D Parkes Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 …, 2013 | 88 | 2013 |
| Crowd IQ: Measuring the intelligence of crowdsourcing platforms M Kosinski, Y Bachrach, G Kasneci, J Van-Gael, T Graepel Proceedings of the 4th annual ACM web science conference, 151-160, 2012 | 83 | 2012 |
| Power in threshold network flow games Y Bachrach, JS Rosenschein Autonomous Agents and Multi-Agent Systems 18 (1), 106-132, 2009 | 82 | 2009 |
Thore GraepelGlobal Lead Computational Science, AI & ML at Altos Labs and Chair of Machine Learning, UCLEmail verificata su ucl.ac.uk