Tyler Lu

Publication Activity (10 Years)

Years Active: 2006-2022
Publications (10 Years): 13

Top Topics

Preference Elicitation

Markov Decision Process

Robust Optimization

Top Venues

Publications

Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. WWW (2022)
Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier
Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors. CoRR (2022)
Dijia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
ConQUR: Mitigating Delusional Bias in Deep Q-Learning. ICML (2020)
Grace Bang, Guy Barash, Ryan Beal, Jacques Calì, Mauricio Castillo-Effen, Xin Cynthia Chen, Niyati Chhaya, Rachel Cummings, Rohan Dhoopar, Sebastijan Dumancic, Huáscar Espinoza, Eitan Farchi, Ferdinando Fioretto, Raquel Fuentetaja, Christopher William Geib, Odd Erik Gundersen, José Hernández-Orallo, Xiaowei Huang, Kokil Jaidka, Sarah Keren, Seokhwan Kim, Michel Galley, Xiaomo Liu, Tyler Lu, Zhiqiang Ma, Richard Mallah, John McDermid, Martin Michalowski, Reuth Mirsky, Seán Ó hÉigeartaigh, Deepak Ramachandran, Javier Segovia Aguas, Onn Shehory, Arash Shaban-Nejad, Vered Shwartz, Siddharth Srivastava, Kartik Talamadupula, Jian Tang, Pascal Van Hentenryck, Dell Zhang, Jian Zhang
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41 (4) (2020)
Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier
Gradient-Based Optimization for Bayesian Preference Elicitation. AAAI (2020)
Andy Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier
ConQUR: Mitigating Delusional Bias in Deep Q-learning. CoRR (2020)
Tyler Lu, Craig Boutilier
Preference elicitation and robust winner determination for single- and multi-winner social choice. Artif. Intell. 279 (2020)
Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier
Gradient-based Optimization for Bayesian Preference Elicitation. CoRR (2019)
Tyler Lu, Dale Schuurmans, Craig Boutilier
Non-delusional Q-learning and value-iteration. NeurIPS (2018)
Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, M. K. Ryu, Greg Imwalle
Data center cooling using model-predictive control. NeurIPS (2018)
Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu
Logistic Markov Decision Processes. IJCAI (2017)
Tyler Lu, Martin Zinkevich, Craig Boutilier, Binz Roy, Dale Schuurmans
Safe Exploration for Identifying Linear Systems via Robust Optimization. CoRR (2017)
Craig Boutilier, Tyler Lu
Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes. UAI (2016)
Tyler Lu, Craig Boutilier
Value-Directed Compression of Large-Scale Assignment Problems. AAAI (2015)
Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet
Optimal social choice functions: A utilitarian view. Artif. Intell. 227 (2015)
Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier
On the value of using group discounts under price competition. Artif. Intell. 216 (2014)
Tyler Lu, Craig Boutilier
Effective sampling and learning for mallows models with pairwise-preference data. J. Mach. Learn. Res. 15 (1) (2014)
Tyler Lu, Craig Boutilier
Multi-Winner Social Choice with Incomplete Preferences. IJCAI (2013)
Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier
On the Value of Using Group Discounts under Price Competition. AAAI (2013)
Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. UAI (2012)
Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet
Optimal social choice functions: a utilitarian view. EC (2012)
Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare CoRR (2012)
Tyler Lu, Craig Boutilier
Matching models for preference-sensitive group purchasing. EC (2012)
Tyler Lu, Craig Boutilier
Budgeted Social Choice: From Consensus to Personalized Decision Making. IJCAI (2011)
Tyler Lu, Craig Boutilier
Robust Approximation and Incremental Elicitation in Voting Protocols. IJCAI (2011)
Tyler Lu, Craig Boutilier
Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs. ADT (2011)
Tyler Lu, Craig Boutilier
Learning Mallows Models with Pairwise Preferences. ICML (2011)
Shai Ben-David, Tyler Lu, Teresa Luu, Dávid Pál
Impossibility Theorems for Domain Adaptation. AISTATS (2010)
Tyler Lu, Dávid Pál, Martin Pal
Contextual Multi-Armed Bandits. AISTATS (2010)
Tyler Lu, Craig Boutilier
The unavailable candidate model: a decision-theoretic view of social choice. EC (2010)
Jérémy Barbay, Alejandro López-Ortiz, Tyler Lu, Alejandro Salinger
An experimental investigation of set intersection algorithms for text searching. ACM J. Exp. Algorithmics 14 (2009)
Shai Ben-David, Tyler Lu, Dávid Pál, Miroslava Sotáková
Learning Low Density Separators. AISTATS (2009)
Shai Ben-David, Tyler Lu, Dávid Pál, Miroslava Sotáková
Learning Low-Density Separators CoRR (2008)
Shai Ben-David, Tyler Lu, Dávid Pál
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning. COLT (2008)
Jérémy Barbay, Alejandro López-Ortiz, Tyler Lu
Faster Adaptive Set Intersections for Text Searching. WEA (2006)