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
Dustin MorrillSony AIVerified email at sony.com
Karim AliAssociate Professor, NYU Abu DhabiVerified email at nyu.edu
Michael BowlingUniversity of AlbertaVerified email at ualberta.ca
Marc LanctotResearch Scientist, Google 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
Jason HartfordStaff Machine Learning Research Scientist at Valence Labs / Recursion PharmaVerified email at cs.ubc.ca
Greg d'EonUniversity of British ColumbiaVerified email at cs.ubc.ca
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
Jason d'EonGraduate Student, Dalhousie UniversityVerified email at dal.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

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	214	2010
Deep learning for predicting human strategic behavior JS Hartford, JR Wright, K Leyton-Brown Advances in neural information processing systems 29, 2016	101	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	80	2014
Predicting Human Behavior in Unrepeated, Simultaneous-Move Games JR Wright, K Leyton-Brown Games and Economic Behavior 106, 16-37, 2017	73	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	72	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	65*	2019
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	63	2020
Behavioral game theoretic models: a Bayesian framework for parameter analysis. JR Wright, K Leyton-Brown AAMAS 12, 921-930, 2012	54	2012
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	52	2022
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	51	2020
Learning when to stop searching DG Goldstein, RP McAfee, S Suri, JR Wright Management Science 66 (3), 1375-1394, 2020	43*	2020
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	33	2021
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	32	2021
Level-0 Models for Predicting Human Behavior in Games JR Wright, K Leyton-Brown Journal of Artificial Intelligence Research 64, 357-383, 2019	27	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	16	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	12	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	11	2019
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	4*	2023
Modeling human behavior in strategic settings JR Wright University of British Columbia, 2016	3	2016
Loss Functions for Behavioral Game Theory G d'Eon, S Greenwood, K Leyton-Brown, J Wright arXiv preprint arXiv:2306.04778, 2023	2	2023

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