James R. Wright

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 36

Top Topics

Behavioral Models

State Variables

Regret Minimization

Top Venues

J. Artif. Intell. Res.

Publications

Vincent Liu, James R. Wright, Martha White
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). AAAI (2024)
Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright
How to Evaluate Behavioral Models. AAAI (2024)
Revan MacQueen, James R. Wright
Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability. CoRR (2023)
Daniel Chui, Jason D. Hartline, James R. Wright
Non-strategic Econometrics (for Initial Play). AAMAS (2023)
Vincent Liu, James R. Wright, Martha White
Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning. J. Artif. Intell. Res. 77 (2023)
Revan MacQueen, James R. Wright
Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability. NeurIPS (2023)
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)
Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright
Loss Functions for Behavioral Game Theory. CoRR (2023)
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) (2022)
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)
Daniel Chui, Jason D. Hartline, James R. Wright
Non-strategic Structural Inference (for Initial Play). CoRR (2022)
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 (2021)
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)
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)
Shehroze Khan, James R. Wright
Disinformation, Stochastic Harm, and Costly Filtering: A Principal-Agent Analysis of Regulating Social Media Platforms. CoRR (2021)
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 (2021)
Michele Albach, James R. Wright
The Role of Accuracy in Algorithmic Process Fairness Across Multiple Domains. EC (2021)
Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling
Hindsight and Sequential Rationality of Correlated Play. CoRR (2020)
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)
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
Learning When to Stop Searching. Manag. Sci. 66 (3) (2020)
Revan MacQueen, Nicholas Bombardieri, James R. Wright, Karim Ali
Game Theoretic Malware Detection. CoRR (2020)
Xi Alice Gao, James R. Wright, Kevin Leyton-Brown
Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract). IJCAI (2020)
James R. Wright, Kevin Leyton-Brown
A Formal Separation Between Strategic and Nonstrategic Behavior. EC (2020)
Ryan D'Orazio, Dustin Morrill, James R. Wright
Bounds for Approximate Regret-Matching Algorithms. CoRR (2019)
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 (2019)
James R. Wright, Kevin Leyton-Brown
Level-0 Models for Predicting Human Behavior in Games. J. Artif. Intell. Res. 64 (2019)
Xi Alice Gao, James R. Wright, Kevin Leyton-Brown
Incentivizing evaluation with peer prediction and limited access to ground truth. Artif. Intell. 275 (2019)
James R. Wright, Kevin Leyton-Brown
Formalizing the Boundary Between Strategic and Nonstrategic Reasoning. CoRR (2018)
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
Learning in the Repeated Secretary Problem. CoRR (2017)
Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
Learning in the Repeated Secretary Problem. EC (2017)
James R. Wright, Kevin Leyton-Brown
Predicting human behavior in unrepeated, simultaneous-move games. Games Econ. Behav. 106 (2017)
James R. Wright, Kevin Leyton-Brown
Models of Level-0 Behavior for Predicting Human Behavior in Games. CoRR (2016)
Jason S. Hartford, James R. Wright, Kevin Leyton-Brown
Deep Learning for Predicting Human Strategic Behavior. NIPS (2016)
Xi Alice Gao, James R. Wright, Kevin Leyton-Brown
Incentivizing Evaluation via Limited Access to Ground Truth: Peer-Prediction Makes Things Worse. CoRR (2016)
James R. Wright, Chris Thornton, Kevin Leyton-Brown
Mechanical TA: Partially Automated High-Stakes Peer Grading. SIGCSE (2015)
James R. Wright
Behavioural Game Theory: Predictive Models and Mechanisms. Canadian Conference on AI (2015)
James R. Wright, Kevin Leyton-Brown
Level-0 meta-models for predicting human behavior in games. EC (2014)
James R. Wright, Kevin Leyton-Brown
Evaluating, Understanding, and Improving Behavioral Game Theory Models For Predicting Human Behavior in Unrepeated Normal-Form Games. CoRR (2013)
James R. Wright, Kevin Leyton-Brown
Behavioral game theoretic models: a Bayesian framework for parameter analysis. AAMAS (2012)
James R. Wright, Albert Xin Jiang, Kevin Leyton-Brown
-player games. SIGecom Exch. 10 (1) (2011)
James R. Wright, Kevin Leyton-Brown
Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games. AAAI (2010)