Last Updated: 12/15/2023 |
Publications *Denotes Student Author |
On the Dimension of the Set of Yolk Centers
James P. Bailey
OR Letters. 2023. |
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Octanary Branching Algorithm.
James P. Bailey, Todd Easton and *Fabio Vitor.
International Journal of Operations Research (IJOR), 2022. |
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Stochastic Multiplicative Weights Updates in Zero-Sum Games
James P. Bailey, Sai Ganesh Nagarajan and Georgios Piliouras.
arXiv preprint. 2021. |
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O(1/T) Time-Average Convergence in a Generalization of Multiagent Zero-Sum Games
James P. Bailey
arXiv preprint. 2021. |
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Path-Length Analysis for Grid-Based Path Planning
James P. Bailey, Alex Nash, Craig Tovey, and Sven Koenig.
Journal of Artificial Intelligence. 2021. |
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Conditions for Stability in Strategic Matching
James P. Bailey, Craig A. Tovey.
arXiv preprint. 2021. |
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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. |
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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. |
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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. |
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Octanary Branching Algorithm.
James P. Bailey, Todd Easton and *Fabio Vitor.
International Journal of Operations Research (IJOR), Accepted 2020. |
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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. |
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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. |
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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. |
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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. |
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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. |
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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).
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The Price of Deception in Facility Location.
Joint Work with Craig Tovey.
Workshop on Computational Social Choice (COMSOC), 2018. |
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Theses
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Doctoral Thesis: The Price of Deception in Social Choice
Academic Advisor: Craig Tovey.
Georgia Institute of Technology, 2017.
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Masters Thesis: Octanary Branching Algorithm
Academic Advisor: Todd Easton.
Kansas State University, 2012.
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Presentations
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1/T Time-Average Convergence in a Generalization of Multiagent Zero-sum Games.
INFORMS. Hybrid. October 2021.
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The Physics of Online Optimization in Games.
INFORMS. Online. November 8-11, 2020.
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1/T Time-Average Regret in Games with Aribitrary Fixed Step-Size.
INFORMS. Online. November 8-11, 2020.
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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.
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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.
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Learning Dynamics in Games.
Joint Work with Georgios Piliouras.
Workshop on Current Issues in Game Theory & Social Dynamics. Singapore, January 11, 2019.
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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.
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The Price of Deception in Facility Location.
7th International Workshop on Computational Social Choice (COMSOC). Troy, NY. June 25-27 2018.
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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.
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The Price of Deception in Elections.
The 13th Meeting of the Society for Social Choice and Welfare. Lund, Sweden. June 28-July 1, 2016.
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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.
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An Intermediate Perfect Graph Theorem.
2011 Annual Ronald E. McNair Heartland Research Conference. Kansas City, MO. September 23-25, 2011.
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