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James R. Wright
James R. Wright
Подтвержден адрес электронной почты в домене ualberta.ca - Главная страница
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Процитировано
Процитировано
Год
Beyond equilibrium: Predicting human behavior in normal-form games
JR Wright, K Leyton-Brown
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
1852010
Deep learning for predicting human strategic behavior
JS Hartford, JR Wright, K Leyton-Brown
Advances in neural information processing systems 29, 2016
812016
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
632014
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
532015
Incentivizing evaluation with peer prediction and limited access to ground truth
XA Gao, JR Wright, K Leyton-Brown
Artificial Intelligence 275, 618-638, 2019
49*2019
Predicting Human Behavior in Unrepeated, Simultaneous-Move Games
JR Wright, K Leyton-Brown
Games and Economic Behavior 106, 16-37, 2017
472017
Behavioral game theoretic models: a Bayesian framework for parameter analysis.
JR Wright, K Leyton-Brown
AAMAS, 921-930, 2012
462012
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
302020
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
262020
Learning when to stop searching
DG Goldstein, RP McAfee, S Suri, JR Wright
Management Science 66 (3), 1375-1394, 2020
20*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
152021
Level-0 Models for Predicting Human Behavior in Games
JR Wright, K Leyton-Brown
Journal of Artificial Intelligence Research 64, 357-383, 2019
132019
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
122021
The spotlight: A general method for discovering systematic errors in deep learning models
G d'Eon, J d'Eon, JR Wright, K Leyton-Brown
2022 ACM Conference on Fairness, Accountability, and Transparency, 1962-1981, 2022
72022
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
7*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
52019
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
32021
Models of Level-0 Behavior for Predicting Human Behavior in Games
JR Wright, K Leyton-Brown
arXiv preprint arXiv:1609.08923, 2016
22016
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
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