Jeremy McMahan
Scholar

Jeremy McMahan

Google Scholar ID: m8robxcAAAAJ
University of Wisconsin-Madison
Algorithm under UncertaintyCombinatorial OptimizationGraph Theory
Citations & Impact
All-time
Citations
108
 
H-index
6
 
i10-index
3
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Paper accepted to Neurips 2024; Paper accepted to the first ever RLC conference.
Research Experience
  • During his PhD, he works under the guidance of Jerry Zhu, Qiaomin Xie, and Yudong Chen; During his MS, he worked under the guidance of Shuchi Chawla on online and stochastic optimization.
Education
  • PhD: University of Wisconsin-Madison, Theory of Computing group, advised by Jerry Zhu; MS: Computer Science, advised by Shuchi Chawla, focusing on online and stochastic optimization; BS: Mathematics and Computer Science (with honors) from the University of Illinois Urbana-Champaign, worked with Alexandra Kolla and Alexander Yong.
Background
  • Research interests: approximation algorithms for combinatorial optimization problems with uncertainty, especially those arising in multi-agent reinforcement learning; Field: Theory of Computing; Brief introduction: currently a PhD candidate at the University of Wisconsin-Madison, a LEAP Fellow, and co-organizes Machine Learning Lunch Meetings.
Miscellany
  • Personal interests include dancing, making art, hiking, etc.
Co-authors
0 total
Co-authors: 0 (list not available)