2024 Fall Mathematical foundation of deep learning
(Reading seminar: Kernel methods in machine learning)
2024 Spring Advanced statistics II
2023 Fall Sabatical
2023 Spring Advanced statistics II
2022 Fall Mathematical foundation of deep learning
2022 Spring Advanced statistics II
2021 Fall Topics in statistics III: Regularity for elliptic partial differential equation
2021 Spring Topics in statistics I: Introduction to Sherrington-Kirkpatrick model
2020 Fall Topics in statistics II: Introduction to deep learning
2020 Spring
2019 Fall Introduction to applied stochastic processes (for undergraduate )
Advanced statistics I
2019 Spring Advanced statistics II
2018 Fall Introduction to nonparametric regression (for undergraduate )
2018 Spring Toics in high dimensional statistics