Tyler Lu

According to our database, Tyler Lu authored at least 30 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectors.

Christina Göpfert, Yinlam Chow, Chih-Wei Hsu, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Craig Boutilier

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

2020

ConQUR: Mitigating Delusional Bias in Deep Q-learning.

Andy Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier

CoRR, 2020

The Association for the Advancement of Artificial Intelligence 2020 Workshop Program.

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 A. 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

AI Mag., 2020

Preference elicitation and robust winner determination for single- and multi-winner social choice.

Tyler Lu, Craig Boutilier

Artif. Intell., 2020

ConQUR: Mitigating Delusional Bias in Deep Q-Learning.

Dijia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier

Proceedings of the 37th International Conference on Machine Learning, 2020

Gradient-Based Optimization for Bayesian Preference Elicitation.

Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2018

Non-delusional Q-learning and value-iteration.

Tyler Lu, Dale Schuurmans, Craig Boutilier

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Data center cooling using model-predictive control.

Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, M. K. Ryu, Greg Imwalle

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Safe Exploration for Identifying Linear Systems via Robust Optimization.

Tyler Lu, Martin Zinkevich, Craig Boutilier, Binz Roy, Dale Schuurmans

CoRR, 2017

Logistic Markov Decision Processes.

Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes.

Craig Boutilier, Tyler Lu

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

2015

Group Decision Making with Partial Preferences.

Tyler Lu

PhD thesis, 2015

Optimal social choice functions: A utilitarian view.

Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet

Artif. Intell., 2015

Value-Directed Compression of Large-Scale Assignment Problems.

Tyler Lu, Craig Boutilier

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Effective sampling and learning for mallows models with pairwise-preference data.

Tyler Lu, Craig Boutilier

J. Mach. Learn. Res., 2014

On the value of using group discounts under price competition.

Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier

Artif. Intell., 2014

2013

Multi-Winner Social Choice with Incomplete Preferences.

Tyler Lu, Craig Boutilier

Proceedings of the IJCAI 2013, 2013

2012

Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare.

Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier

Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Matching models for preference-sensitive group purchasing.

Tyler Lu, Craig Boutilier

Proceedings of the 13th ACM Conference on Electronic Commerce, 2012

2011

Robust Approximation and Incremental Elicitation in Voting Protocols.

Tyler Lu, Craig Boutilier

Proceedings of the IJCAI 2011, 2011

Budgeted Social Choice: From Consensus to Personalized Decision Making.

Tyler Lu, Craig Boutilier

Proceedings of the IJCAI 2011, 2011

Learning Mallows Models with Pairwise Preferences.

Tyler Lu, Craig Boutilier

Proceedings of the 28th International Conference on Machine Learning, 2011

Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs.

Tyler Lu, Craig Boutilier

Proceedings of the Algorithmic Decision Theory - Second International Conference, 2011

2010

Contextual Multi-Armed Bandits.

Tyler Lu, Dávid Pál, Martin Pal

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Impossibility Theorems for Domain Adaptation.

Shai Ben-David, Tyler Lu, Teresa Luu, Dávid Pál

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

The unavailable candidate model: a decision-theoretic view of social choice.

Tyler Lu, Craig Boutilier

Proceedings of the Proceedings 11th ACM Conference on Electronic Commerce (EC-2010), 2010

2009

Learning Low Density Separators.

Shai Ben-David, Tyler Lu, Dávid Pál, Miroslava Sotáková

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

An experimental investigation of set intersection algorithms for text searching.

Jérémy Barbay, Alejandro López-Ortiz, Tyler Lu, Alejandro Salinger

ACM J. Exp. Algorithmics, 2009

2008

Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning.

Shai Ben-David, Tyler Lu, Dávid Pál

Proceedings of the 21st Annual Conference on Learning Theory, 2008

2006

Faster Adaptive Set Intersections for Text Searching.

Jérémy Barbay, Alejandro López-Ortiz, Tyler Lu

Proceedings of the Experimental Algorithms, 5th International Workshop, 2006