Qingyue Zhao
Scholar

Qingyue Zhao

Google Scholar ID: EguGynAAAAAJ
University of California, Los Angeles
Machine LearningOptimizationInformation Theory
Citations & Impact
All-time
Citations
15
 
H-index
3
 
i10-index
0
 
Publications
5
 
Co-authors
11
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Publications:
  • - Towards a Sharp Analysis of Offline Policy Learning for $f$-Divergence-Regularized Contextual Bandits
  • - Global Convergence and Rich Feature Learning in-Layer Infinite-Width Neural Networks under μP Parametrization
  • - Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models
  • - Nearly Optimal Sample Complexity of Offline KL-Regularized Contextual Bandits under Single-Policy Concentrability
  • - Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $mu$ Parametrization
  • - Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
  • - Towards the Fundamental Limits of Knowledge Transfer over Finite Domains (multiple publications)
Research Experience
  • No detailed research experience information available
Education
  • - PhD student, Department of Computer Science, University of California, Los Angeles, 2024 - Present
  • - Undergrad student, Department of Computer Science and Technology, Tsinghua University, 2020 - 2024
  • - Undergrad student, Department of Electronic Engineering, Tsinghua University, 2019 - 2020
Background
  • Research Interests: Machine Learning
  • Bio: PhD student, Department of Computer Science, University of California, Los Angeles.
Miscellany
  • Personal Links:
  • - Google Scholar
  • - DBLP