| 2025 | ICML | Representative Ranking for Deliberation in the Public Sphere. | Manon Revel, Smitha Milli, Tyler Lu, Jamelle Watson-Daniels, Maximilian Nickel |
| 2022 | WWW | Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. | Christina Gpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier |
| 2020 | AAAI | Gradient-Based Optimization for Bayesian Preference Elicitation. | Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier |
| 2020 | ICML | ConQUR: Mitigating Delusional Bias in Deep Q-Learning. | Dijia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier |
| 2017 | IJCAI | Logistic Markov Decision Processes. | Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu |
| 2016 | UAI | Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes. | Craig Boutilier, Tyler Lu |
| 2015 | AAAI | Value-Directed Compression of Large-Scale Assignment Problems. | Tyler Lu, Craig Boutilier |
| 2013 | AAAI | On the Value of Using Group Discounts under Price Competition. | Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier |
| 2013 | IJCAI | Multi-Winner Social Choice with Incomplete Preferences. | Tyler Lu, Craig Boutilier |
| 2012 | UAI | Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. | Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier |
| 2011 | ICML | Learning Mallows Models with Pairwise Preferences. | Tyler Lu, Craig Boutilier |
| 2011 | IJCAI | Budgeted Social Choice: From Consensus to Personalized Decision Making. | Tyler Lu, Craig Boutilier |
| 2011 | IJCAI | Robust Approximation and Incremental Elicitation in Voting Protocols. | Tyler Lu, Craig Boutilier |
| 2008 | COLT | Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning. | Shai Ben-David, Tyler Lu, Dvid Pl |