Jeonghwan Lee
Research interest
My research interest lies at the span of high-dimensional probability and statistics, causal inference, and machine learning. In particular, I mainly work on the following topics:
Machine learning theory: statistical foundations of reinforcement learning, statistical learning under distribution shift, optimization, and learning in games.
Probability theory: learning in the space of probability measures (e.g., sampling algorithms, diffusion models, and geometry of the space of probability measures).
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