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2020 – today
- 2024
[c19]Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright:
How to Evaluate Behavioral Models. AAAI 2024: 9636-9644- [c18]Vincent Liu, James R. Wright, Martha White:
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). AAAI 2024: 22706 - [i17]Alireza Masoumian, James R. Wright:
Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games. CoRR abs/2411.06069 (2024) - 2023
- [j7]Vincent Liu, James R. Wright, Martha White:
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning. J. Artif. Intell. Res. 77: 71-101 (2023) - [c17]Daniel Chui, Jason D. Hartline, James R. Wright:
Non-strategic Econometrics (for Initial Play). AAMAS 2023: 634-642 - [c16]Jiaqi He, Revan MacQueen, Natalie Bombardieri, Karim Ali, James R. Wright, Cristina Cifuentes:
Finding an Optimal Set of Static Analyzers To Detect Software Vulnerabilities. ICSME 2023: 463-473 - [c15]Revan MacQueen, James R. Wright:
Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability. NeurIPS 2023 - [i16]Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright:
Loss Functions for Behavioral Game Theory. CoRR abs/2306.04778 (2023) - [i15]Revan MacQueen, James R. Wright:
Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability. CoRR abs/2310.11518 (2023) - 2022
- [j6]Lisa Nguyen Quang Do
, James R. Wright, Karim Ali:
Why Do Software Developers Use Static Analysis Tools? A User-Centered Study of Developer Needs and Motivations. IEEE Trans. Software Eng. 48(3): 835-847 (2022) - [c14]Greg d'Eon, Jason d'Eon, James R. Wright, Kevin Leyton-Brown:
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. FAccT 2022: 1962-1981 - [i14]Daniel Chui, Jason D. Hartline, James R. Wright:
Non-strategic Structural Inference (for Initial Play). CoRR abs/2208.06521 (2022) - 2021
- [c13]Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling:
Hindsight and Sequential Rationality of Correlated Play. AAAI 2021: 5584-5594 - [c12]Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. Greenwald:
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. ICML 2021: 7818-7828 - [c11]Michele Albach, James R. Wright:
The Role of Accuracy in Algorithmic Process Fairness Across Multiple Domains. EC 2021: 29-49 - [i13]Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald:
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. CoRR abs/2102.06973 (2021) - [i12]Shehroze Khan, James R. Wright:
Disinformation, Stochastic Harm, and Costly Filtering: A Principal-Agent Analysis of Regulating Social Media Platforms. CoRR abs/2106.09847 (2021) - [i11]Greg d'Eon, Jason d'Eon, James R. Wright, Kevin Leyton-Brown:
The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. CoRR abs/2107.00758 (2021) - [i10]Vincent Liu, James R. Wright, Martha White:
Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning. CoRR abs/2111.08066 (2021) - 2020
- [j5]Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright:
Learning When to Stop Searching. Manag. Sci. 66(3): 1375-1394 (2020) - [c10]Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling:
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. AAMAS 2020: 339-347 - [c9]Xi Alice Gao, James R. Wright, Kevin Leyton-Brown:
Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract). IJCAI 2020: 5140-5144 - [c8]James R. Wright, Kevin Leyton-Brown:
A Formal Separation Between Strategic and Nonstrategic Behavior. EC 2020: 535-536 - [i9]Revan MacQueen, Nicholas Bombardieri, James R. Wright, Karim Ali:
Game Theoretic Malware Detection. CoRR abs/2012.00817 (2020) - [i8]Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling:
Hindsight and Sequential Rationality of Correlated Play. CoRR abs/2012.05874 (2020)
2010 – 2019
- 2019
- [j4]Xi Alice Gao, James R. Wright, Kevin Leyton-Brown:
Incentivizing evaluation with peer prediction and limited access to ground truth. Artif. Intell. 275: 618-638 (2019) - [j3]James R. Wright, Kevin Leyton-Brown:
Level-0 Models for Predicting Human Behavior in Games. J. Artif. Intell. Res. 64: 357-383 (2019) - [i7]Ryan D'Orazio, Dustin Morrill, James R. Wright:
Bounds for Approximate Regret-Matching Algorithms. CoRR abs/1910.01706 (2019) - [i6]Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling:
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization. CoRR abs/1912.02967 (2019) - 2018
- [i5]James R. Wright, Kevin Leyton-Brown:
Formalizing the Boundary Between Strategic and Nonstrategic Reasoning. CoRR abs/1812.11571 (2018) - 2017
- [j2]James R. Wright, Kevin Leyton-Brown:
Predicting human behavior in unrepeated, simultaneous-move games. Games Econ. Behav. 106: 16-37 (2017) - [c7]Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright:
Learning in the Repeated Secretary Problem. EC 2017: 541 - [i4]Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright:
Learning in the Repeated Secretary Problem. CoRR abs/1708.08831 (2017) - 2016
- [c6]Jason S. Hartford, James R. Wright, Kevin Leyton-Brown:
Deep Learning for Predicting Human Strategic Behavior. NIPS 2016: 2424-2432 - [i3]Xi Alice Gao, James R. Wright, Kevin Leyton-Brown:
Incentivizing Evaluation via Limited Access to Ground Truth: Peer-Prediction Makes Things Worse. CoRR abs/1606.07042 (2016) - [i2]James R. Wright, Kevin Leyton-Brown:
Models of Level-0 Behavior for Predicting Human Behavior in Games. CoRR abs/1609.08923 (2016) - 2015
- [c5]James R. Wright:
Behavioural Game Theory: Predictive Models and Mechanisms. Canadian AI 2015: 356-359 - [c4]James R. Wright, Chris Thornton, Kevin Leyton-Brown:
Mechanical TA: Partially Automated High-Stakes Peer Grading. SIGCSE 2015: 96-101 - 2014
- [c3]James R. Wright, Kevin Leyton-Brown:
Level-0 meta-models for predicting human behavior in games. EC 2014: 857-874 - 2013
- [i1]James R. Wright, Kevin Leyton-Brown:
Evaluating, Understanding, and Improving Behavioral Game Theory Models For Predicting Human Behavior in Unrepeated Normal-Form Games. CoRR abs/1306.0918 (2013) - 2012
- [c2]James R. Wright, Kevin Leyton-Brown:
Behavioral game theoretic models: a Bayesian framework for parameter analysis. AAMAS 2012: 921-930 - 2011
- [j1]James R. Wright, Albert Xin Jiang, Kevin Leyton-Brown:
Linear solvers for nonlinear games: using pivoting algorithms to find Nash equilibria in n-player games. SIGecom Exch. 10(1): 9-12 (2011) - 2010
- [c1]James R. Wright, Kevin Leyton-Brown:
Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games. AAAI 2010: 901-907
Coauthor Index
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