James R. Wright

According to our database, James R. Wright authored at least 36 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

How to Evaluate Behavioral Models.

Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Exploiting Action Impact Regularity and Exogenous State Variables for Offline Reinforcement Learning (Abstract Reprint).

Vincent Liu, James R. Wright, Martha White

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Loss Functions for Behavioral Game Theory.

Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown, James R. Wright

CoRR, 2023

Guarantees for Self-Play in Multiplayer Games via Polymatrix Decomposability.

Revan MacQueen, James R. Wright

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Finding an Optimal Set of Static Analyzers To Detect Software Vulnerabilities.

Jiaqi He, Revan MacQueen, Natalie Bombardieri, Karim Ali, James R. Wright, Cristina Cifuentes

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

Non-strategic Econometrics (for Initial Play).

Daniel Chui, Jason D. Hartline, James R. Wright

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

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

IEEE Trans. Software Eng., 2022

Non-strategic Structural Inference (for Initial Play).

Daniel Chui, Jason D. Hartline, James R. Wright

CoRR, 2022

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

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Exploiting Action Impact Regularity and Partially Known Models for Offline Reinforcement Learning.

Vincent Liu, James R. Wright, Martha White

CoRR, 2021

Disinformation, Stochastic Harm, and Costly Filtering: A Principal-Agent Analysis of Regulating Social Media Platforms.

Shehroze Khan, James R. Wright

CoRR, 2021

The Role of Accuracy in Algorithmic Process Fairness Across Multiple Domains.

Michele Albach, James R. Wright

Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 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

Proceedings of the 38th International Conference on Machine Learning, 2021

Hindsight and Sequential Rationality of Correlated Play.

Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning When to Stop Searching.

Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright

Manag. Sci., 2020

Game Theoretic Malware Detection.

Revan MacQueen, Nicholas Bombardieri, James R. Wright, Karim Ali

CoRR, 2020

A Formal Separation Between Strategic and Nonstrategic Behavior.

James R. Wright, Kevin Leyton-Brown

Proceedings of the EC '20: The 21st ACM Conference on Economics and Computation, 2020

Incentivizing Evaluation with Peer Prediction and Limited Access to Ground Truth (Extended Abstract).

Xi Alice Gao, James R. Wright, Kevin Leyton-Brown

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

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

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Level-0 Models for Predicting Human Behavior in Games.

James R. Wright, Kevin Leyton-Brown

J. Artif. Intell. Res., 2019

Bounds for Approximate Regret-Matching Algorithms.

Ryan D'Orazio, Dustin Morrill, James R. Wright

CoRR, 2019

Incentivizing evaluation with peer prediction and limited access to ground truth.

Xi Alice Gao, James R. Wright, Kevin Leyton-Brown

Artif. Intell., 2019

2018

Formalizing the Boundary Between Strategic and Nonstrategic Reasoning.

James R. Wright, Kevin Leyton-Brown

CoRR, 2018

2017

Predicting human behavior in unrepeated, simultaneous-move games.

James R. Wright, Kevin Leyton-Brown

Games Econ. Behav., 2017

Learning in the Repeated Secretary Problem.

Daniel G. Goldstein, R. Preston McAfee, Siddharth Suri, James R. Wright

Proceedings of the 2017 ACM Conference on Economics and Computation, 2017

2016

Models of Level-0 Behavior for Predicting Human Behavior in Games.

James R. Wright, Kevin Leyton-Brown

CoRR, 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

Deep Learning for Predicting Human Strategic Behavior.

Jason S. Hartford, James R. Wright, Kevin Leyton-Brown

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Mechanical TA: Partially Automated High-Stakes Peer Grading.

James R. Wright, Chris Thornton, Kevin Leyton-Brown

Proceedings of the 46th ACM Technical Symposium on Computer Science Education, 2015

Behavioural Game Theory: Predictive Models and Mechanisms.

James R. Wright

Proceedings of the Advances in Artificial Intelligence, 2015

2014

Level-0 meta-models for predicting human behavior in games.

James R. Wright, Kevin Leyton-Brown

Proceedings of the ACM Conference on Economics and Computation, 2014

2013

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

2012

Behavioral game theoretic models: a Bayesian framework for parameter analysis.

James R. Wright, Kevin Leyton-Brown

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011

Linear solvers for nonlinear games: using pivoting algorithms to find Nash equilibria in <i>n</i>-player games.

James R. Wright, Albert Xin Jiang, Kevin Leyton-Brown

SIGecom Exch., 2011

2010

Beyond Equilibrium: Predicting Human Behavior in Normal-Form Games.

James R. Wright, Kevin Leyton-Brown

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010