Lu, Tyler

19 publications

ICML 2025 Representative Ranking for Deliberation in the Public Sphere Manon Revel, Smitha Milli, Tyler Lu, Jamelle Watson-Daniels, Maximilian Nickel

ICML 2020 ConQUR: Mitigating Delusional Bias in Deep Q-Learning Dijia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier

AAAI 2020 Gradient-Based Optimization for Bayesian Preference Elicitation Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier

NeurIPS 2018 Data Center Cooling Using Model-Predictive Control Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, Mk Ryu, Greg Imwalle

NeurIPS 2018 Non-Delusional Q-Learning and Value-Iteration Tyler Lu, Dale Schuurmans, Craig Boutilier

IJCAI 2017 Logistic Markov Decision Processes Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu

UAI 2016 Budget Allocation Using Weakly Coupled, Constrained Markov Decision Processes Craig Boutilier, Tyler Lu

AAAI 2015 Value-Directed Compression of Large-Scale Assignment Problems Tyler Lu, Craig Boutilier

JMLR 2014 Effective Sampling and Learning for Mallows Models with Pairwise-Preference Data Tyler Lu, Craig Boutilier

IJCAI 2013 Multi-Winner Social Choice with Incomplete Preferences Tyler Lu, Craig Boutilier

AAAI 2013 On the Value of Using Group Discounts Under Price Competition Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier

UAI 2012 Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier

IJCAI 2011 Budgeted Social Choice: From Consensus to Personalized Decision Making Tyler Lu, Craig Boutilier

ICML 2011 Learning Mallows Models with Pairwise Preferences Tyler Lu, Craig Boutilier

IJCAI 2011 Robust Approximation and Incremental Elicitation in Voting Protocols Tyler Lu, Craig Boutilier

AISTATS 2010 Contextual Multi-Armed Bandits Tyler Lu, David Pal, Martin Pal

AISTATS 2010 Impossibility Theorems for Domain Adaptation Shai Ben David, Tyler Lu, Teresa Luu, David Pal

AISTATS 2009 Learning Low Density Separators Shai Ben-David, Tyler Lu, David Pal, Miroslava Sotakova

COLT 2008 Does Unlabeled Data Provably Help? Worst-Case Analysis of the Sample Complexity of Semi-Supervised Learning Shai Ben-David, Tyler Lu, Dávid Pál