Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games. - James R. Wright; Kevin Leyton-Brown (AAAI, 2010)

Linear solvers for nonlinear games: using pivoting algorithms to find Nash equilibria in n-player games. - James R. Wright; Albert Xin Jiang; Kevin Leyton-Brown (SIGecom Exch., 2011)

Behavioral game theoretic models: a Bayesian framework for parameter analysis. - James R. Wright; Kevin Leyton-Brown (AAMAS, 2012)

Evaluating, Understanding, and Improving Behavioral Game Theory Models For Predicting Human Behavior in Unrepeated Normal-Form Games. - James R. Wright; Kevin Leyton-Brown (CoRR, 2013)

Level-0 meta-models for predicting human behavior in games. - James R. Wright; Kevin Leyton-Brown (EC, 2014)

Behavioural Game Theory: Predictive Models and Mechanisms. - James R. Wright (Canadian AI, 2015)

Mechanical TA: Partially Automated High-Stakes Peer Grading. - James R. Wright; Chris Thornton; Kevin Leyton-Brown (SIGCSE, 2015)

Deep Learning for Predicting Human Strategic Behavior. - Jason S. Hartford; James R. Wright; Kevin Leyton-Brown (NIPS, 2016)

Incentivizing Evaluation via Limited Access to Ground Truth: Peer-Prediction Makes Things Worse. - Xi Alice Gao; James R. Wright; Kevin Leyton-Brown (CoRR, 2016)

Models of Level-0 Behavior for Predicting Human Behavior in Games. - James R. Wright; Kevin Leyton-Brown (CoRR, 2016)

Learning in the Repeated Secretary Problem. - Daniel G. Goldstein; R. Preston McAfee; Siddharth Suri; James R. Wright (EC, 2017)

Predicting human behavior in unrepeated, simultaneous-move games. - James R. Wright; Kevin Leyton-Brown (Games Econ. Behav., 2017)

Formalizing the Boundary Between Strategic and Nonstrategic Reasoning. - James R. Wright; Kevin Leyton-Brown (CoRR, 2018)

Incentivizing evaluation with peer prediction and limited access to ground truth. - Xi Alice Gao; James R. Wright; Kevin Leyton-Brown (Artif. Intell., 2019)

Bounds for Approximate Regret-Matching Algorithms. - Ryan D'Orazio; Dustin Morrill; James R. Wright (CoRR, 2019)

Level-0 Models for Predicting Human Behavior in Games. - James R. Wright; Kevin Leyton-Brown (J. Artif. Intell. Res., 2019)

Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. - Ryan D'Orazio; Dustin Morrill; James R. Wright; Michael Bowling (AAMAS, 2020)

Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract). - Xi Alice Gao; James R. Wright; Kevin Leyton-Brown (IJCAI, 2020)

A Formal Separation Between Strategic and Nonstrategic Behavior. - James R. Wright; Kevin Leyton-Brown (EC, 2020)

Game Theoretic Malware Detection. - Revan MacQueen; Nicholas Bombardieri; James R. Wright; Karim Ali 001 (CoRR, 2020)

Learning When to Stop Searching. - Daniel G. Goldstein; R. Preston McAfee; Siddharth Suri; James R. Wright (Manag. Sci., 2020)

Hindsight and Sequential Rationality of Correlated Play. - Dustin Morrill; Ryan D'Orazio; Reca Sarfati; Marc Lanctot; James R. Wright; Amy R. Greenwald; Michael Bowling (AAAI, 2021)

Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. - Dustin Morrill; Ryan D'Orazio; Marc Lanctot; James R. Wright; Michael Bowling; Amy R. Greenwald (ICML, 2021)

The Role of Accuracy in Algorithmic Process Fairness Across Multiple Domains. - Michele Albach; James R. Wright (EC, 2021)

Disinformation, Stochastic Harm, and Costly Filtering: A Principal-Agent Analysis of Regulating Social Media Platforms. - Shehroze Khan; James R. Wright (CoRR, 2021)

Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning. - Vincent Liu; James R. Wright; Martha White (CoRR, 2021)

The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. - Greg d'Eon; Jason d'Eon; James R. Wright; Kevin Leyton-Brown (FAccT, 2022)

Non-strategic Structural Inference (for Initial Play). - Daniel Chui; Jason D. Hartline; James R. Wright (CoRR, 2022)

Why Do Software Developers Use Static Analysis Tools? A User-Centered Study of Developer Needs and Motivations. - Lisa Nguyen Quang Do; James R. Wright; Karim Ali 001 (IEEE Trans. Software Eng., 2022)

Non-strategic Econometrics (for Initial Play). - Daniel Chui; Jason D. Hartline; James R. Wright (AAMAS, 2023)

Finding an Optimal Set of Static Analyzers To Detect Software Vulnerabilities. - Jiaqi He; Revan MacQueen; Natalie Bombardieri; Karim Ali 001; James R. Wright; Cristina Cifuentes (ICSME, 2023)

Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability. - Revan MacQueen; James R. Wright (NeurIPS, 2023)

Loss Functions for Behavioral Game Theory. - Greg d'Eon; Sophie Greenwood; Kevin Leyton-Brown; James R. Wright (CoRR, 2023)

Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning. - Vincent Liu; James R. Wright; Martha White (J. Artif. Intell. Res., 2023)

Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). - Vincent Liu; James R. Wright; Martha White (AAAI, 2024)

How to Evaluate Behavioral Models. - Greg d'Eon; Sophie Greenwood; Kevin Leyton-Brown; James R. Wright (AAAI, 2024)

Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games. - Alireza Masoumian; James R. Wright (CoRR, 2024)

ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games. - Greg d'Eon; Hala Murad; Kevin Leyton-Brown; James R. Wright (CoRR, 2025)

Approximating Nash Equilibria in General-Sum Games via Meta-Learning. - David Sychrovský; Christopher Solinas; Revan MacQueen; Kevin Wang; James R. Wright; Nathan R. Sturtevant; Michael Bowling (CoRR, 2025)