James R. Wright

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Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI ChairVerified email at cs.ubc.ca
Ryan D'OrazioMila, Université de MontréalVerified email at mila.quebec
Karim AliAssociate Professor, University of AlbertaVerified email at ualberta.ca
Michael BowlingUniversity of AlbertaVerified email at ualberta.ca
Jason HartfordSenior Machine Learning Research Scientist at Recursion PharmaVerified email at cs.ubc.ca
Marc LanctotResearch Scientist, DeepMindVerified email at google.com
Amy GreenwaldProfessor of Computer Science, Brown UniversityVerified email at brown.edu
Lisa Nguyen Quang DoGoogle SwitzerlandVerified email at google.com
Xi Alice GaoUniversity of TorontoVerified email at utoronto.ca
Siddharth SuriMicrosoft Research, AIVerified email at microsoft.com
Daniel G GoldsteinSenior Principal Research Manager, Microsoft ResearchVerified email at dangoldstein.com
Preston McafeeGoogle ResearchVerified email at google.com
Greg d'EonUniversity of British ColumbiaVerified email at cs.ubc.ca
K SudhirJames Frank Professor of Marketing, Private Enterprise and Management, Yale SOMVerified email at yale.edu
Kosuke UetakeAssociate Professor of Marketing, Yale School of ManagementVerified email at yale.edu
Liu LiuUniversity of Colorado BoulderVerified email at colorado.edu
Allison J.B. ChaneyDuke UniversityVerified email at duke.edu
Daria DzyaburaProfessor of Marketing, New Economic SchoolVerified email at nes.ru
Linda HagenUniversity of Southern California, Marshall School of BusinesVerified email at marshall.usc.edu
Nathan YangAssistant Professor in Marketing, Cornell UniversityVerified email at cornell.edu

James R. Wright

University of Alberta

Verified email at ualberta.ca - Homepage

Machine Learning Artificial Intelligence Behavioral Game Theory Algorithmic Game Theory


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Beyond equilibrium: Predicting human behavior in normal-form games J Wright, K Leyton-Brown Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 901-907, 2010	209	2010
Deep learning for predicting human strategic behavior JS Hartford, JR Wright, K Leyton-Brown Advances in neural information processing systems 29, 2016	96	2016
Level-0 Meta-Models for Predicting Human Behavior in Games JR Wright, K Leyton-Brown Proceedings of the Fifteenth ACM Conference on Economics and Computation …, 2014	74	2014
Predicting Human Behavior in Unrepeated, Simultaneous-Move Games JR Wright, K Leyton-Brown Games and Economic Behavior 106, 16-37, 2017	65	2017
Mechanical TA: Partially Automated High-Stakes Peer Grading JR Wright, C Thornton, K Leyton-Brown ACM Technical Symposium on Computer Science Education (ACM-SIGCSE), 2015	65	2015
Incentivizing evaluation with peer prediction and limited access to ground truth XA Gao, JR Wright, K Leyton-Brown Artificial Intelligence 275, 618-638, 2019	60*	2019
Behavioral game theoretic models: a Bayesian framework for parameter analysis. JR Wright, K Leyton-Brown AAMAS 12, 921-930, 2012	51	2012
Why do software developers use static analysis tools? a user-centered study of developer needs and motivations LNQ Do, JR Wright, K Ali IEEE Transactions on Software Engineering 48 (3), 835-847, 2020	50	2020
How can machine learning aid behavioral marketing research? L Hagen, K Uetake, N Yang, B Bollinger, AJB Chaney, D Dzyabura, ... Marketing Letters 31, 361-370, 2020	48	2020
Learning when to stop searching DG Goldstein, RP McAfee, S Suri, JR Wright Management Science 66 (3), 1375-1394, 2020	42*	2020
The spotlight: A general method for discovering systematic errors in deep learning models G d'Eon, J d'Eon, JR Wright, K Leyton-Brown Proceedings of the 2022 ACM Conference on Fairness, Accountability, and …, 2022	39	2022
Efficient deviation types and learning for hindsight rationality in extensive-form games D Morrill, R D’Orazio, M Lanctot, JR Wright, M Bowling, AR Greenwald International Conference on Machine Learning, 7818-7828, 2021	26	2021
Hindsight and sequential rationality of correlated play D Morrill, R D'Orazio, R Sarfati, M Lanctot, JR Wright, AR Greenwald, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5584-5594, 2021	26	2021
Level-0 Models for Predicting Human Behavior in Games JR Wright, K Leyton-Brown Journal of Artificial Intelligence Research 64, 357-383, 2019	23	2019
A formal separation between strategic and nonstrategic behavior JR Wright, K Leyton-Brown Proceedings of the 21st ACM Conference on Economics and Computation, 535-536, 2020	14	2020
The role of accuracy in algorithmic process fairness across multiple domains M Albach, JR Wright Proceedings of the 22nd ACM Conference on Economics and Computation, 29-49, 2021	11	2021
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of -Regression Counterfactual Regret Minimization R D'Orazio, D Morrill, JR Wright, M Bowling arXiv preprint arXiv:1912.02967, 2019	8	2019
Modeling human behavior in strategic settings JR Wright University of British Columbia, 2016	3	2016
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning V Liu, JR Wright, M White Journal of Artificial Intelligence Research 77, 71-101, 2023	2	2023
Game-Theoretic Malware Detection R MacQueen, N Bombardieri, JR Wright, K Ali arXiv preprint arXiv:2012.00817, 2020	2	2020

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