default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTyler Lu
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j7]Christina Göpfert
, Alex Haig, Chih-Wei Hsu, Yinlam Chow, Ivan Vendrov, Tyler Lu, Deepak Ramachandran, Hubert Pham, Mohammad Ghavamzadeh, Craig Boutilier:
Discovering Personalized Semantics for Soft Attributes in Recommender Systems Using Concept Activation Vectors. Trans. Recomm. Syst. 2(4): 30:1-30:37 (2024)- 2022
- [c23]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: 2411-2421 - [i6]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 abs/2202.02830 (2022) - 2020
- [j6]Tyler Lu, Craig Boutilier:
Preference elicitation and robust winner determination for single- and multi-winner social choice. Artif. Intell. 279 (2020) - [j5]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:
The Association for the Advancement of Artificial Intelligence 2020 Workshop Program. AI Mag. 41(4): 100-114 (2020) - [c22]Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier:
Gradient-Based Optimization for Bayesian Preference Elicitation. AAAI 2020: 10292-10301 - [c21]Dijia Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier:
ConQUR: Mitigating Delusional Bias in Deep Q-Learning. ICML 2020: 9187-9195 - [i5]Andy Su, Jayden Ooi, Tyler Lu, Dale Schuurmans, Craig Boutilier:
ConQUR: Mitigating Delusional Bias in Deep Q-learning. CoRR abs/2002.12399 (2020)
2010 – 2019
- 2019
- [i4]Ivan Vendrov, Tyler Lu, Qingqing Huang, Craig Boutilier:
Gradient-based Optimization for Bayesian Preference Elicitation. CoRR abs/1911.09153 (2019) - 2018
- [c20]Nevena Lazic, Craig Boutilier, Tyler Lu, Eehern Wong, Binz Roy, M. K. Ryu, Greg Imwalle:
Data center cooling using model-predictive control. NeurIPS 2018: 3818-3827 - [c19]Tyler Lu, Dale Schuurmans, Craig Boutilier:
Non-delusional Q-learning and value-iteration. NeurIPS 2018: 9971-9981 - 2017
- [c18]Martin Mladenov, Craig Boutilier, Dale Schuurmans, Ofer Meshi, Gal Elidan, Tyler Lu:
Logistic Markov Decision Processes. IJCAI 2017: 2486-2493 - [i3]Tyler Lu, Martin Zinkevich, Craig Boutilier, Binz Roy, Dale Schuurmans:
Safe Exploration for Identifying Linear Systems via Robust Optimization. CoRR abs/1711.11165 (2017) - 2016
- [c17]Craig Boutilier, Tyler Lu:
Budget Allocation using Weakly Coupled, Constrained Markov Decision Processes. UAI 2016 - 2015
- [b1]Tyler Lu:
Group Decision Making with Partial Preferences. University of Toronto, Canada, 2015 - [j4]Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet:
Optimal social choice functions: A utilitarian view. Artif. Intell. 227: 190-213 (2015) - [c16]Tyler Lu, Craig Boutilier:
Value-Directed Compression of Large-Scale Assignment Problems. AAAI 2015: 1182-1190 - 2014
- [j3]Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier:
On the value of using group discounts under price competition. Artif. Intell. 216: 163-178 (2014) - [j2]Tyler Lu, Craig Boutilier:
Effective sampling and learning for mallows models with pairwise-preference data. J. Mach. Learn. Res. 15(1): 3783-3829 (2014) - 2013
- [c15]Reshef Meir, Tyler Lu, Moshe Tennenholtz, Craig Boutilier:
On the Value of Using Group Discounts under Price Competition. AAAI 2013: 683-689 - [c14]Tyler Lu, Craig Boutilier:
Multi-Winner Social Choice with Incomplete Preferences. IJCAI 2013: 263-270 - 2012
- [c13]Craig Boutilier, Ioannis Caragiannis, Simi Haber, Tyler Lu, Ariel D. Procaccia, Or Sheffet:
Optimal social choice functions: a utilitarian view. EC 2012: 197-214 - [c12]Tyler Lu, Craig Boutilier:
Matching models for preference-sensitive group purchasing. EC 2012: 723-740 - [c11]Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier:
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. UAI 2012: 543-553 - [i2]Tyler Lu, Pingzhong Tang, Ariel D. Procaccia, Craig Boutilier:
Bayesian Vote Manipulation: Optimal Strategies and Impact on Welfare. CoRR abs/1210.4895 (2012) - 2011
- [c10]Tyler Lu, Craig Boutilier:
Vote Elicitation with Probabilistic Preference Models: Empirical Estimation and Cost Tradeoffs. ADT 2011: 135-149 - [c9]Tyler Lu, Craig Boutilier:
Learning Mallows Models with Pairwise Preferences. ICML 2011: 145-152 - [c8]Tyler Lu, Craig Boutilier:
Budgeted Social Choice: From Consensus to Personalized Decision Making. IJCAI 2011: 280-286 - [c7]Tyler Lu, Craig Boutilier:
Robust Approximation and Incremental Elicitation in Voting Protocols. IJCAI 2011: 287-293 - 2010
- [c6]Tyler Lu, Craig Boutilier:
The unavailable candidate model: a decision-theoretic view of social choice. EC 2010: 263-274 - [c5]Shai Ben-David, Tyler Lu, Teresa Luu, Dávid Pál:
Impossibility Theorems for Domain Adaptation. AISTATS 2010: 129-136 - [c4]Tyler Lu, Dávid Pál, Martin Pal:
Contextual Multi-Armed Bandits. AISTATS 2010: 485-492
2000 – 2009
- 2009
- [j1]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) - [c3]Shai Ben-David, Tyler Lu, Dávid Pál, Miroslava Sotáková:
Learning Low Density Separators. AISTATS 2009: 25-32 - 2008
- [c2]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: 33-44 - [i1]Shai Ben-David, Tyler Lu, Dávid Pál, Miroslava Sotáková:
Learning Low-Density Separators. CoRR abs/0805.2891 (2008) - 2006
- [c1]Jérémy Barbay, Alejandro López-Ortiz, Tyler Lu:
Faster Adaptive Set Intersections for Text Searching. WEA 2006: 146-157
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-01-20 22:59 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
