Scholar
Qingyue Zhao
Google Scholar ID: EguGynAAAAAJ
University of California, Los Angeles
Machine Learning
Optimization
Information Theory
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
15
H-index
3
i10-index
0
Publications
5
Co-authors
11
list available
Contact
No contact links provided.
Publications
6 items
Transformers Trained via Gradient Descent Can Provably Learn a Class of Teacher Models
2026
Cited
0
Near-Optimal Regret for KL-Regularized Multi-Armed Bandits
2026
Cited
0
Robust Layerwise Scaling Rules by Proper Weight Decay Tuning
2025
Cited
0
Policy Frameworks for Transparent Chain-of-Thought Reasoning in Large Language Models
2025
Cited
0
Global Convergence and Rich Feature Learning in $L$-Layer Infinite-Width Neural Networks under $mu$P Parametrization
2025
Cited
0
Nearly Optimal Sample Complexity of Offline KL-Regularized Contextual Bandits under Single-Policy Concentrability
2025
Cited
0
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
Co-authors
11 total
Quanquan Gu
Associate Professor of Computer Science, UCLA
Kaixuan Ji
University of California, Los Angeles
Banghua Zhu
Assistant Professor at University of Washington; Principal Research Scientist at Nvidia
Jiafan He
PhD student, Department of Computer Science, UCLA
Weitong Zhang
Assistant Professor, SDSS, UNC Chapel Hill
Yihang Chen
UCLA
Kaiqiao Han
PhD student, UCLA
Co-author 8
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