| Impossibility theorems for domain adaptation SB David, T Lu, T Luu, D Pál Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 329 | 2010 |
| Impossibility theorems for domain adaptation SB David, T Lu, T Luu, D Pál Proceedings of the Thirteenth International Conference on Artificial …, 2010 | 329 | 2010 |
| Contextual multi-armed bandits T Lu, D Pál, M Pál Proceedings of the Thirteenth international conference on Artificial …, 2010 | 329 | 2010 |
| Optimal social choice functions: A utilitarian view C Boutilier, I Caragiannis, S Haber, T Lu, AD Procaccia, O Sheffet Proceedings of the 13th ACM Conference on Electronic Commerce, 197-214, 2012 | 242 | 2012 |
| Budgeted social choice: From consensus to personalized decision making T Lu, C Boutilier IJCAI 11, 280-286, 2011 | 240 | 2011 |
| Learning Mallows models with pairwise preferences T Lu, C Boutilier Proceedings of the 28th international conference on machine learning (icml …, 2011 | 217 | 2011 |
| Data center cooling using model-predictive control N Lazic, C Boutilier, T Lu, E Wong, B Roy, MK Ryu, G Imwalle Advances in Neural Information Processing Systems 31, 2018 | 207 | 2018 |
| Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning. S Ben-David, T Lu, D Pál COLT, 33-44, 2008 | 165 | 2008 |
| Robust approximation and incremental elicitation in voting protocols T Lu, C Boutilier IJCAI 1, 287-293, 2011 | 160 | 2011 |
| Effective sampling and learning for mallows models with pairwise-preference data. T Lu, C Boutilier J. Mach. Learn. Res. 15 (1), 3783-3829, 2014 | 123 | 2014 |
| Faster adaptive set intersections for text searching J Barbay, A López-Ortiz, T Lu Experimental Algorithms: 5th International Workshop, WEA 2006, Cala Galdana …, 2006 | 103 | 2006 |
| An experimental investigation of set intersection algorithms for text searching J Barbay, A López-Ortiz, T Lu, A Salinger Journal of Experimental Algorithmics (JEA) 14, 3.7-3.24, 2010 | 81 | 2010 |
| Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes. C Boutilier, T Lu UAI, 2016 | 57 | 2016 |
| Non-delusional Q-learning and value-iteration T Lu, D Schuurmans, C Boutilier Advances in neural information processing systems 31, 2018 | 56 | 2018 |
| Vote elicitation with probabilistic preference models: Empirical estimation and cost tradeoffs T Lu, C Boutilier Algorithmic Decision Theory: Second International Conference, ADT 2011 …, 2011 | 44 | 2011 |
| Multi-winner social choice with incomplete preferences T Lu, C Boutilier Twenty-Third International Joint Conference on Artificial Intelligence, 2013 | 42 | 2013 |
| The unavailable candidate model: a decision-theoretic view of social choice T Lu, CE Boutilier Proceedings of the 11th ACM conference on Electronic commerce, 263-274, 2010 | 39 | 2010 |
| Value-directed compression of large-scale assignment problems T Lu, C Boutilier Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015 | 36 | 2015 |
| Fundamental limitations of semi-supervised learning TT Lu University of Waterloo, 2009 | 36 | 2009 |
| Gradient-based optimization for bayesian preference elicitation I Vendrov, T Lu, Q Huang, C Boutilier Proceedings of the AAAI Conference on Artificial Intelligence 34 (06), 10292 …, 2020 | 25 | 2020 |
