James R. Wright

48 papers A* 12A 5Journal 28Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games. AAAI Greg d'Eon, Hala Murad, Kevin Leyton-Brown, James R. Wright
2025	J	`jnl`	Approximating Nash Equilibria in General-Sum Games via Meta-Learning. CoRR David Sychrovský, Christopher Solinas, Revan MacQueen, Kevin Wang, James R. Wright, Nathan R. Sturtevant, Michael Bowling
2025	J	`jnl`	Beyond Revenue and Welfare: Counterfactual Analysis of Spectrum Auctions with Application to Canada's 3800MHz Allocation. CoRR Sara Jalili Shani, Kris Joseph, Michael B. McNally, James R. Wright
2025	J	`jnl`	ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games. CoRR Greg d'Eon, Hala Murad, Kevin Leyton-Brown, James R. Wright
2025	J	`jnl`	Personalized Recommendations via Active Utility-based Pairwise Sampling. CoRR Bahar Boroomand, James R. Wright
2024	A*	`conf`	Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint). AAAI Vincent Liu, James R. Wright, Martha White
2024	A*	`conf`	How to Evaluate Behavioral Models. AAAI Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright
2024	J	`jnl`	Model Selection for Average Reward RL with Application to Utility Maximization in Repeated Games. CoRR Alireza Masoumian, James R. Wright
2023	J	`jnl`	Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning. J. Artif. Intell. Res. Vincent Liu, James R. Wright, Martha White
2023	A	`conf`	Finding an Optimal Set of Static Analyzers To Detect Software Vulnerabilities. ICSME Jiaqi He, Revan MacQueen, Natalie Bombardieri, Karim Ali, James R. Wright, Cristina Cifuentes
2023	A*	`conf`	Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability. NeurIPS Revan MacQueen, James R. Wright
2023	J	`jnl`	Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability. CoRR Revan MacQueen, James R. Wright
2023	J	`jnl`	Loss Functions for Behavioral Game Theory. CoRR Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright
2023	A	`conf`	Non-strategic Econometrics (for Initial Play). AAMAS Daniel Chui, Jason D. Hartline, James R. Wright
2022	J	`jnl`	Non-strategic Structural Inference (for Initial Play). CoRR Daniel Chui, Jason D. Hartline, James R. Wright
2022	—	`conf`	The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. FAccT Greg d'Eon, Jason d'Eon, James R. Wright, Kevin Leyton-Brown
2022	J	`jnl`	Why Do Software Developers Use Static Analysis Tools? A User-Centered Study of Developer Needs and Motivations. IEEE Trans. Software Eng. Lisa Nguyen Quang Do, James R. Wright, Karim Ali
2021	J	`jnl`	Disinformation, Stochastic Harm, and Costly Filtering: A Principal-Agent Analysis of Regulating Social Media Platforms. CoRR Shehroze Khan, James R. Wright
2021	A*	`conf`	Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. ICML Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. Greenwald
2021	J	`jnl`	Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. CoRR Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald
2021	J	`jnl`	Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning. CoRR Vincent Liu, James R. Wright, Martha White
2021	A*	`conf`	Hindsight and Sequential Rationality of Correlated Play. AAAI Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling
2021	A*	`conf`	The Role of Accuracy in Algorithmic Process Fairness Across Multiple Domains. EC Michele Albach, James R. Wright
2021	J	`jnl`	The Spotlight: A General Method for Discovering Systematic Errors in Deep Learning Models. CoRR Greg d'Eon, Jason d'Eon, James R. Wright, Kevin Leyton-Brown
2020	A*	`conf`	A Formal Separation Between Strategic and Nonstrategic Behavior. EC James R. Wright, Kevin Leyton-Brown
2020	A	`conf`	Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. AAMAS Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
2020	J	`jnl`	Game Theoretic Malware Detection. CoRR Revan MacQueen, Nicholas Bombardieri, James R. Wright, Karim Ali
2020	J	`jnl`	Hindsight and Sequential Rationality of Correlated Play. CoRR Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling
2020	A*	`conf`	Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract). IJCAI Xi Alice Gao, James R. Wright, Kevin Leyton-Brown
2020	J	`jnl`	Learning When to Stop Searching. Manag. Sci. Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
2019	J	`jnl`	Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization. CoRR Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
2019	J	`jnl`	Bounds for Approximate Regret-Matching Algorithms. CoRR Ryan D'Orazio, Dustin Morrill, James R. Wright
2019	J	`jnl`	Incentivizing evaluation with peer prediction and limited access to ground truth. Artif. Intell. Xi Alice Gao, James R. Wright, Kevin Leyton-Brown
2019	J	`jnl`	Level-0 Models for Predicting Human Behavior in Games. J. Artif. Intell. Res. James R. Wright, Kevin Leyton-Brown
2018	J	`jnl`	Formalizing the Boundary Between Strategic and Nonstrategic Reasoning. CoRR James R. Wright, Kevin Leyton-Brown
2017	A*	`conf`	Learning in the Repeated Secretary Problem. EC Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
2017	J	`jnl`	Learning in the Repeated Secretary Problem. CoRR Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright
2017	J	`jnl`	Predicting human behavior in unrepeated, simultaneous-move games. Games Econ. Behav. James R. Wright, Kevin Leyton-Brown
2016	—	`conf`	Deep Learning for Predicting Human Strategic Behavior. NIPS Jason S. Hartford, James R. Wright, Kevin Leyton-Brown
2016	J	`jnl`	Incentivizing Evaluation via Limited Access to Ground Truth: Peer-Prediction Makes Things Worse. CoRR Xi Alice Gao, James R. Wright, Kevin Leyton-Brown
2016	J	`jnl`	Models of Level-0 Behavior for Predicting Human Behavior in Games. CoRR James R. Wright, Kevin Leyton-Brown
2015	—	`conf`	Behavioural Game Theory: Predictive Models and Mechanisms. Canadian AI James R. Wright
2015	A	`conf`	Mechanical TA: Partially Automated High-Stakes Peer Grading. SIGCSE James R. Wright, Chris Thornton, Kevin Leyton-Brown
2014	A*	`conf`	Level-0 meta-models for predicting human behavior in games. EC James R. Wright, Kevin Leyton-Brown
2013	J	`jnl`	Evaluating, Understanding, and Improving Behavioral Game Theory Models For Predicting Human Behavior in Unrepeated Normal-Form Games. CoRR James R. Wright, Kevin Leyton-Brown
2012	A	`conf`	Behavioral game theoretic models: a Bayesian framework for parameter analysis. AAMAS James R. Wright, Kevin Leyton-Brown
2011	J	`jnl`	Linear solvers for nonlinear games: using pivoting algorithms to find Nash equilibria in SIGecom Exch. James R. Wright, Albert Xin Jiang, Kevin Leyton-Brown
2010	A*	`conf`	Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games. AAAI James R. Wright, Kevin Leyton-Brown