James P. Bailey

Last Updated: 12/15/2023

Publications

*Denotes Student Author

On the Dimension of the Set of Yolk Centers
James P. Bailey
OR Letters. 2023.

Octanary Branching Algorithm.
James P. Bailey, Todd Easton and *Fabio Vitor.
International Journal of Operations Research (IJOR), 2022.

Stochastic Multiplicative Weights Updates in Zero-Sum Games
James P. Bailey, Sai Ganesh Nagarajan and Georgios Piliouras.
arXiv preprint. 2021.

O(1/T) Time-Average Convergence in a Generalization of Multiagent Zero-Sum Games
James P. Bailey
arXiv preprint. 2021.

Path-Length Analysis for Grid-Based Path Planning
James P. Bailey, Alex Nash, Craig Tovey, and Sven Koenig.
Journal of Artificial Intelligence. 2021.

Conditions for Stability in Strategic Matching
James P. Bailey, Craig A. Tovey.
arXiv preprint. 2021.

Fast, Easy-to-use, Machine Learning-developed Models of Prediction of Flash Point, Heat of Combustion, and Lower and Upper Flammability Limits for Inherently Safer Design.
*Sunhwa Park, James P. Bailey, Hans Pasman, Qingsheng Wang, Mahmoud El-Halwagi.
Computers & Chemical Engineering. Accepted 2021.

What Can the Trove of CSB Incident Investigations Teach Us? A detailed analysis of information characteristics among chemical process incidents investigated by the CSB
*Sunhwa Park, *Edna Mendez, James P. Bailey, William Rogers, Hans Pasman, Mahmoud El-Halwagi.
Journal of Loss Prevention in the Process Industries. 2021.

Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent
James P. Bailey, *Gauthier Gidel and Georgios Piliouras.
In the Proceedings of the 33rd Conference on Learning Theory (COLT). 2020.

Octanary Branching Algorithm.
James P. Bailey, Todd Easton and *Fabio Vitor.
International Journal of Operations Research (IJOR), Accepted 2020.

Fast and Furious Learning in Zero-Sum Games:
Vanishing Regret with Non-Vanishing Step Sizes.

James P. Bailey, Georgios Piliouras.
In the Proceedings of the 2019 Conference on Neural Information Processing Systems (NeurIPS). 2019.

Multiagent Learning in Network Zero-Sum Games is a Hamiltonian System.
James P. Bailey, Georgios Piliouras.
Nominated for Best Paper In the Proceedings of the International Conference on Auntonmous Agents and Multiagent Systems (AAMAS). 2019.

Multiplicative Weights Update in Zero-Sum Games.
James P. Bailey, Georgios Piliouras.
In the Proceedings of the ACM Conference on Economics and Computation (EC). 2018.

Path Planning on Grids: The Effect of Vertex Placement on Path Length.
James P. Bailey, Craig Tovey, *Tansel Uras, Sven Koenig, and Alex Nash.
Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2015.

On the Design of Deterministic Matrices for Fast Recovery of Fourier Compressible Functions.
James P. Bailey, Mark Iwen and Craig Spencer.
SIAM Journal on Matrix Analysis and Applications, 2012.

Refereed Conference/Workshop

Anywhere but a Nash Equilibrium:
Follow-the-Regularized Leader in Zero-Sum Games (The Stochastic Case).

Joint Work with *Sai Ganesh Nagarajan and Georgios Piliouras.
EC Workshop on Machine Learning in Presence of Strategic Behavior (EC).

The Price of Deception in Facility Location.
Joint Work with Craig Tovey.
Workshop on Computational Social Choice (COMSOC), 2018.

Theses

Doctoral Thesis: The Price of Deception in Social Choice
Academic Advisor: Craig Tovey.
Georgia Institute of Technology, 2017.

Masters Thesis: Octanary Branching Algorithm
Academic Advisor: Todd Easton.
Kansas State University, 2012.

Presentations

1/T Time-Average Convergence in a Generalization of Multiagent Zero-sum Games.
INFORMS. Hybrid. October 2021.

The Physics of Online Optimization in Games.
INFORMS. Online. November 8-11, 2020.

1/T Time-Average Regret in Games with Aribitrary Fixed Step-Size.
INFORMS. Online. November 8-11, 2020.

Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes.
Conference on Learning Theory (COLT). Online. July 9-12, 2020.

Multiagent Learning in Network Zero-Sum Games is a Hamiltonian System.
International Conference on Auntonmous Agents and Multiagent Systems (AAMAS). Montreal, Quebec, May 13-17, 2019.

Learning Dynamics in Games.
Joint Work with Georgios Piliouras.
Workshop on Current Issues in Game Theory & Social Dynamics. Singapore, January 11, 2019.

Multiplicative Weights Update in Zero-sum Games.

  • 13th Data Mining and Decision Analytics Workshop. Phoenix, Arizona. November 3, 2018.
  • INFORMS. Phoenix, Arizona. November 4-7, 2018.
  • 19th ACM Conference on Economics and Compuatation (EC). Ithaca, New York, June 19-21, 2018.

The Price of Deception in Facility Location.
7th International Workshop on Computational Social Choice (COMSOC). Troy, NY. June 25-27 2018.

Strategic Stable Marriage.

  • Microsoft Match-Up. Cambridge, Massachusetts. April 20-21, 2017.
  • INFORMS. Nashville, Tennessee. November 13-16, 2016.
  • The 3rd annual Young Researchers Workshop on Data-Driven Decision Mechanisms. Cornell University. October 14-16, 2016.

The Price of Deception in Elections.
The 13th Meeting of the Society for Social Choice and Welfare. Lund, Sweden. June 28-July 1, 2016.

Path Planning on Grids: The Effect of Vertex Placement on Path Length.
The Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE). Santa Cruz, CA. October 8-12, 2015.

An Intermediate Perfect Graph Theorem.
2011 Annual Ronald E. McNair Heartland Research Conference. Kansas City, MO. September 23-25, 2011.