James R. Wright

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Kevin Leyton-BrownProfessor, Computer Science, University of British Columbia; Canada CIFAR AI ChairAdresse e-mail validée de cs.ubc.ca
Ryan D'OrazioMila, Université de MontréalAdresse e-mail validée de mila.quebec
Dustin MorrillSony AIAdresse e-mail validée de sony.com
Karim AliAssociate Professor, NYU Abu DhabiAdresse e-mail validée de nyu.edu
Michael BowlingUniversity of AlbertaAdresse e-mail validée de ualberta.ca
Marc LanctotResearch Scientist, Google DeepMindAdresse e-mail validée de google.com
Amy GreenwaldProfessor of Computer Science, Brown UniversityAdresse e-mail validée de brown.edu
Lisa Nguyen Quang DoGoogle SwitzerlandAdresse e-mail validée de google.com
Jason HartfordStaff Machine Learning Research Scientist at Valence Labs / Recursion PharmaAdresse e-mail validée de cs.ubc.ca
Greg d'EonUniversity of British ColumbiaAdresse e-mail validée de cs.ubc.ca
Xi Alice GaoUniversity of TorontoAdresse e-mail validée de utoronto.ca
Siddharth SuriMicrosoft Research, AIAdresse e-mail validée de microsoft.com
Daniel G GoldsteinSenior Principal Research Manager, Microsoft ResearchAdresse e-mail validée de dangoldstein.com
Preston McafeeGoogle ResearchAdresse e-mail validée de google.com
Jason d'EonGraduate Student, Dalhousie UniversityAdresse e-mail validée de dal.ca
K SudhirJames Frank Professor of Marketing, Private Enterprise and Management, Yale SOMAdresse e-mail validée de yale.edu
Kosuke UetakeAssociate Professor of Marketing, Yale School of ManagementAdresse e-mail validée de yale.edu
Liu LiuUniversity of Colorado BoulderAdresse e-mail validée de colorado.edu
Allison J.B. ChaneyDuke UniversityAdresse e-mail validée de duke.edu
Daria DzyaburaProfessor of Marketing, New Economic SchoolAdresse e-mail validée de nes.ru

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James R. Wright

University of Alberta

Adresse e-mail validée de ualberta.ca - Page d'accueil

Machine Learning Artificial Intelligence Behavioral Game Theory Algorithmic Game Theory


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	66*	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
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	54	2022
Behavioral game theoretic models: a Bayesian framework for parameter analysis. JR Wright, K Leyton-Brown AAMAS 12, 921-930, 2012	54	2012
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
Game-Theoretic Malware Detection R MacQueen, N Bombardieri, JR Wright, K Ali arXiv preprint arXiv:2012.00817, 2020	3	2020
Modeling human behavior in strategic settings JR Wright University of British Columbia, 2016	3	2016

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