James R. Wright
Title
Cited by
Cited by
Year
Beyond equilibrium: Predicting human behavior in normal-form games
JR Wright, K Leyton-Brown
Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
1732010
Deep learning for predicting human strategic behavior
JS Hartford
University of British Columbia, 2016
732016
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
602014
Incentivizing evaluation with peer prediction and limited access to ground truth
XA Gao, JR Wright, K Leyton-Brown
Artificial Intelligence 275, 618-638, 2019
47*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
462015
Behavioral game theoretic models: a Bayesian framework for parameter analysis.
JR Wright, K Leyton-Brown
AAMAS, 921-930, 2012
452012
Predicting Human Behavior in Unrepeated, Simultaneous-Move Games
JR Wright, K Leyton-Brown
Games and Economic Behavior 106, 16-37, 2017
352017
Learning when to stop searching
DG Goldstein, RP McAfee, S Suri, JR Wright
Management Science 66 (3), 1375-1394, 2020
17*2020
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
162020
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
122020
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
82020
Level-0 Models for Predicting Human Behavior in Games
JR Wright, K Leyton-Brown
Journal of Artificial Intelligence Research 64, 357-383, 2019
82019
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games
D Morrill, R D'Orazio, M Lanctot, JR Wright, M Bowling, A Greenwald
arXiv preprint arXiv:2102.06973, 2021
42021
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
32019
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
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
12021
Bounds for approximate regret-matching algorithms
R D'Orazio, D Morrill, JR Wright
arXiv preprint arXiv:1910.01706, 2019
12019
Models of Level-0 Behavior for Predicting Human Behavior in Games
JR Wright, K Leyton-Brown
arXiv preprint arXiv:1609.08923, 2016
12016
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