| Cascading Bandits: Learning to Rank in the Cascade Model B Kveton, C Szepesvari, Z Wen, A Ashkan 32nd International Conference on Machine Learning, 2015 | 200 | 2015 |
| Tight Regret Bounds for Stochastic Combinatorial Semi-Bandits B Kveton, Z Wen, A Ashkan, C Szepesvari 18th International Conference on Artificial Intelligence and Statistics, 2015 | 193 | 2015 |
| Efficient Thompson Sampling for Online Matrix-Factorization Recommendation J Kawale, H Bui, B Kveton, L Tran-Thanh, S Chawla Advances in Neural Information Processing Systems 28, 1297-1305, 2015 | 140 | 2015 |
| User Identification and Personalized Vehicle Settings Management System VB Lortz, B Kveton, VS Kesavan, S Rathi, AP Rangarajan US Patent 9,862,352, 2018 | 96 | 2018 |
| Matroid Bandits: Fast Combinatorial Optimization with Learning B Kveton, Z Wen, A Ashkan, H Eydgahi, B Eriksson 30th Conference on Uncertainty in Artificial Intelligence, 2014 | 93 | 2014 |
| Solving Factored MDPs with Continuous and Discrete Variables C Guestrin, M Hauskrecht, B Kveton 20th Conference on Uncertainty in Artificial Intelligence, 235-242, 2004 | 92 | 2004 |
| When Gossip is Good: Distributed Probabilistic Inference for Detection of Slow Network Intrusions D Dash, B Kveton, JM Agosta, E Schooler, J Chandrashekar, A Bachrach, ... 21st National Conference on Artificial Intelligence, 1115-1122, 2006 | 90 | 2006 |
| Leveraging Side Observations in Stochastic Bandits S Caron, B Kveton, M Lelarge, S Bhagat 28th Conference on Uncertainty in Artificial Intelligence, 2012 | 89 | 2012 |
| Spectral Bandits for Smooth Graph Functions M Valko, R Munos, B Kveton, T Kocák 31st International Conference on Machine Learning, 2014 | 87 | 2014 |
| Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback Z Wen, B Kveton, M Valko, S Vaswani Advances in Neural Information Processing Systems 30, 3022-3032, 2017 | 80* | 2017 |
| Combinatorial Cascading Bandits B Kveton, Z Wen, A Ashkan, C Szepesvari Advances in Neural Information Processing Systems 28, 1450-1458, 2015 | 80 | 2015 |
| Efficient Learning in Large-Scale Combinatorial Semi-Bandits Z Wen, B Kveton, A Ashkan 32nd International Conference on Machine Learning, 1113–1122, 2015 | 80 | 2015 |
| Cascading Bandits for Large-Scale Recommendation Problems S Zong, H Ni, K Sung, NR Ke, Z Wen, B Kveton 32nd Conference on Uncertainty in Artificial Intelligence, 2016 | 73 | 2016 |
| Linear Program Approximations for Factored Continuous-State Markov Decision Processes M Hauskrecht, B Kveton Advances in Neural Information Processing Systems 16, 895-902, 2003 | 73 | 2003 |
| Solving Factored MDPs with Hybrid State and Action Variables B Kveton, M Hauskrecht, C Guestrin Journal of Artificial Intelligence Research 27, 153-201, 2006 | 69 | 2006 |
| Optimal Greedy Diversity for Recommendation A Ashkan, B Kveton, S Berkovsky, Z Wen 24th International Joint Conference on Artificial Intelligence, 1742-1748, 2015 | 68 | 2015 |
| DCM Bandits: Learning to Rank with Multiple Clicks S Katariya, B Kveton, C Szepesvari, Z Wen 33rd International Conference on Machine Learning, 2016 | 66 | 2016 |
| Online Learning to Rank in Stochastic Click Models M Zoghi, T Tunys, M Ghavamzadeh, B Kveton, C Szepesvari, Z Wen 34th International Conference on Machine Learning, 4199-4208, 2017 | 64 | 2017 |
| How to hide the elephant-or the donkey-in the room: Practical privacy against statistical inference for large data S Salamatian, A Zhang, F du Pin Calmon, S Bhamidipati, N Fawaz, ... 2013 IEEE Global Conference on Signal and Information Processing, 269-272, 2013 | 62 | 2013 |
| Inferring Identity using Accelerometers in Television Remote Controls KH Chang, J Hightower, B Kveton 7th International Conference on Pervasive Computing, 151-167, 2009 | 55 | 2009 |
