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James R. Wright
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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
2142010
Deep learning for predicting human strategic behavior
JS Hartford, JR Wright, K Leyton-Brown
Advances in neural information processing systems 29, 2016
1032016
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
802014
Predicting Human Behavior in Unrepeated, Simultaneous-Move Games
JR Wright, K Leyton-Brown
Games and Economic Behavior 106, 16-37, 2017
742017
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
722015
Incentivizing evaluation with peer prediction and limited access to ground truth
XA Gao, JR Wright, K Leyton-Brown
Artificial Intelligence 275, 618-638, 2019
68*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
662020
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
622022
Behavioral game theoretic models: a Bayesian framework for parameter analysis.
JR Wright, K Leyton-Brown
AAMAS 12, 921-930, 2012
542012
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
522020
Learning when to stop searching
DG Goldstein, RP McAfee, S Suri, JR Wright
Management Science 66 (3), 1375-1394, 2020
48*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
342021
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
322021
Level-0 Models for Predicting Human Behavior in Games
JR Wright, K Leyton-Brown
Journal of Artificial Intelligence Research 64, 357-383, 2019
282019
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
162020
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
142021
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
112019
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
6*2023
Game-Theoretic Malware Detection
R MacQueen, N Bombardieri, JR Wright, K Ali
arXiv preprint arXiv:2012.00817, 2020
32020
Modeling human behavior in strategic settings
JR Wright
University of British Columbia, 2016
32016
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