Yuhua Zhu [CV]
E-mail: yuhuazhu@ucla.edu
Welcome!
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I am a tenure-track Assistant Professor at the Department of Statistics and Data Science, UCLA.
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My research focuses on the interface between partial differential equations and machine learning. I am particularly interested in using differential equations to understand and design efficient reinforcement learning algorithms, nonconvex optimization algorithms and generative algorithms.
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Group meeting: We hold our group meeting every Friday at 1:00 PM. If you’d like to join, feel free to reach out.​​
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Data Theory Seminar: I'm organizing the Data Theory Seminar, which is held once per quarter.
Speaker: Amit Singer
Time: 3pm, Nov 20.
Location: Center for health science building 43-105
Education​
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Stanford University
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Postdoc, 2019 - 2022. Mentor: Lexing Ying.
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University of Wisconsin-Madison
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Ph.D. Mathematics, 2019​. Advisor: Shi Jin.
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​M.S. Mathematics, 2015.
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Shanghai Jiao Tong University
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B.S. Mathematics, 2014.
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Research Interests​​​
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Reinforcement Learning: Continuous-time Reinforcement Learning, Multi-armed bandits.
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Optimization: Gradient-free optimization inspired by particle systems, Asynchronous-SGD, Convergence analysis for SGD.
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Uncertainty Quantification in Kinetic Equations: Sensitivity analysis, Stochastic asymptotic preserving, High-dimensional uncertainty.