Donghao Ying
Scholar

Donghao Ying

Google Scholar ID: NzMQHG4AAAAJ
University of California, Berkeley
OptimizationLearning theory
Citations & Impact
All-time
Citations
111
 
H-index
4
 
i10-index
3
 
Publications
16
 
Co-authors
7
list available
Resume (English only)
Academic Achievements
  • Published several conference papers and journal articles, such as 'Subsampled Ensemble Can Improve Generalization Tail Exponentially,' 'Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities,' and more. Also has working papers under review.
Research Experience
  • Involved in multiple research projects, including papers presented at conferences such as NeurIPS, ACC, and others.
Education
  • Ph.D. from the Industrial Engineering and Operations Research (IEOR) Department at UC Berkeley, advised by Prof. Javad Lavaei; previously studied Mathematics at the University of Chinese Academy of Sciences.
Background
  • Research interests include optimization, machine learning theory, and algorithmic game theory.
Miscellany
  • LinkedIn and Google Scholar links available.