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Tyler Lu
Tyler Lu
Research Scientist, Google
Verified email at cs.toronto.edu
Title
Cited by
Cited by
Year
Impossibility theorems for domain adaptation
SB David, T Lu, T Luu, D Pál
Proceedings of the Thirteenth International Conference on Artificial …, 2010
3282010
Impossibility theorems for domain adaptation
SB David, T Lu, T Luu, D Pál
Proceedings of the Thirteenth International Conference on Artificial …, 2010
3282010
Contextual multi-armed bandits
T Lu, D Pál, M Pál
Proceedings of the Thirteenth international conference on Artificial …, 2010
3242010
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
2412012
Budgeted social choice: From consensus to personalized decision making
T Lu, C Boutilier
IJCAI 11, 280-286, 2011
2382011
Learning Mallows models with pairwise preferences
T Lu, C Boutilier
Proceedings of the 28th international conference on machine learning (icml …, 2011
2172011
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
2042018
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
1642008
Robust approximation and incremental elicitation in voting protocols
T Lu, C Boutilier
IJCAI 1, 287-293, 2011
1602011
Effective sampling and learning for mallows models with pairwise-preference data.
T Lu, C Boutilier
J. Mach. Learn. Res. 15 (1), 3783-3829, 2014
1232014
Faster adaptive set intersections for text searching
J Barbay, A López-Ortiz, T Lu
Experimental Algorithms: 5th International Workshop, WEA 2006, Cala Galdana …, 2006
1022006
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
812010
Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes.
C Boutilier, T Lu
UAI, 2016
562016
Non-delusional Q-learning and value-iteration
T Lu, D Schuurmans, C Boutilier
Advances in neural information processing systems 31, 2018
552018
Vote elicitation with probabilistic preference models: Empirical estimation and cost tradeoffs
T Lu, C Boutilier
Algorithmic Decision Theory: Second International Conference, ADT 2011 …, 2011
442011
Multi-winner social choice with incomplete preferences
T Lu, C Boutilier
Twenty-Third International Joint Conference on Artificial Intelligence, 2013
422013
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
392010
Fundamental limitations of semi-supervised learning
TT Lu
University of Waterloo, 2009
362009
Value-directed compression of large-scale assignment problems
T Lu, C Boutilier
Proceedings of the AAAI Conference on Artificial Intelligence 29 (1), 2015
352015
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
262020
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