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James R. Wright
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Beyond equilibrium: Predicting human behavior in normal-form games
JR Wright, K Leyton-Brown
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
1842010
Deep learning for predicting human strategic behavior
JS Hartford, JR Wright, K Leyton-Brown
Advances in neural information processing systems 29, 2016
782016
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
592014
Incentivizing evaluation with peer prediction and limited access to ground truth
XA Gao, JR Wright, K Leyton-Brown
Artificial Intelligence 275, 618-638, 2019
48*2019
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
482015
Behavioral game theoretic models: a Bayesian framework for parameter analysis.
JR Wright, K Leyton-Brown
AAMAS, 921-930, 2012
462012
Predicting Human Behavior in Unrepeated, Simultaneous-Move Games
JR Wright, K Leyton-Brown
Games and Economic Behavior 106, 16-37, 2017
412017
How can machine learning aid behavioral marketing research?
L Hagen, K Uetake, N Yang, B Bollinger, AJB Chaney, D Dzyabura, ...
Marketing Letters 31 (4), 361-370, 2020
262020
Why do software developers use static analysis tools? a user-centered study of developer needs and motivations
LNQ Do, J Wright, K Ali
IEEE Transactions on Software Engineering, 2020
202020
Learning when to stop searching
DG Goldstein, RP McAfee, S Suri, JR Wright
Management Science 66 (3), 1375-1394, 2020
17*2020
Hindsight and sequential rationality of correlated play
D Morrill, R D'Orazio, R Sarfati, M Lanctot, JR Wright, A Greenwald, ...
arXiv preprint arXiv:2012.05874, 2020
122020
Level-0 Models for Predicting Human Behavior in Games
JR Wright, K Leyton-Brown
Journal of Artificial Intelligence Research 64, 357-383, 2019
102019
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
72021
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
4*2020
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
42019
The spotlight: A general method for discovering systematic errors in deep learning models
G d'Eon, J d'Eon, JR Wright, K Leyton-Brown
arXiv preprint arXiv:2107.00758, 2021
32021
Modeling human behavior in strategic settings
JR Wright
University of British Columbia, 2016
22016
Evaluating, Understanding, and Improving Behavioral Game Theory Models For Predicting Human Behavior in Unrepeated Normal-Form Games
JR Wright, K Leyton-Brown
arXiv preprint arXiv:1306.0918, 2013
22013
Game Theoretic Malware Detection
R MacQueen, N Bombardieri, JR Wright, K Ali
arXiv preprint arXiv:2012.00817, 2020
12020
Bounds for approximate regret-matching algorithms
R D'Orazio, D Morrill, JR Wright
arXiv preprint arXiv:1910.01706, 2019
12019
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