James Bailey

About

Education & Training

Ph.D., Algorithms, Combinatorics, and Optimization, Georgia Institute of Technology, 2017.

M.S., Industrial Engineering, Kansas State University, 2012.

B.S., Mathematics, Kansas State University, 2012.

B.S., Industrial and Manufacturing Systems Engineering, Kansas State University, 2012

Research

Primary Research Focus
Advancing knowledge and solution methodologies in optimization, data analytics, machine learning, and social choice through the use of interdisciplinary techniques.

Teaching

Current Courses

ISYE 4600: Deterministic Methods in Operations Research (formally Methods in Operations Research)

ISYE 6610: Systems Modeling in DSES

ISYE 6550: Network Flows: Theory, Algorithms, and Applications

CS 6966: Network Flows: Theory, Algorithms, and Applications
 

Publications

Selected Publications:

  • James P. Bailey, Craig Tovey. 2024 “Impact of Tie-Breaking on the Manipulability of Elections”, Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS).
  • James P. Bailey. 2023 “On the Dimension of the Set of Yolk Centers”, Operations Research Letters.
  • James P. Bailey, Alex Nash, Craig Tovey, Sven Koenig, 2021 “Path-Length Analysis for Grid-Based Path Planning”, Journal of Artificial Intelligence.
  • James P. Bailey, Gauthier Gidel, Georgios Piliouras, 2020 “Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent”, In the Proceedings of the 33rd Conference on Learning Theory (COLT).
  • James P. Bailey, Georgios Piliouras 2019 “Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System”, Nominated for Best Paper In the Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS).
  • James P. Bailey, Georgios Piliouras 2018 “Multiplicative Weights Update in Zero-Sum Games”, In the Proceedings of the ACM Conference for Economic and Computation (EC).

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