TEACHING & TALKS

Machine Learning Theory, National Tsing Hua University, Taiwan, Spring 2025
1 Guest Lecture on "PAC-Bayes Analysis" (Lecturer: Po-An Wang)

Reinforcement Learning (DM887), University of Southern Denmark, Spring 2024, 2025
1 Guest Lecture on "Optimism Under Uncertainty Principle in Reinforcement Learning" (Lecturer: Melih Kandemir)

Machine Learning B, University of Copenhagen, Fall 2022
Teaching Assistant (Lecturers: Sadegh Talebi, Yevgeny Seldin, Christian Igel, and Fabian Gieseke)

Machine Learning B, University of Copenhagen, Fall 2021
Teaching Assistant (Lecturers: Sadegh Talebi, Yevgeny Seldin, Christian Igel, and Fabian Gieseke)

Advanced Topics in Machine Learning, University of Copenhagen, Fall 2020
Teaching Assistant (Lecturers: Yevgeny Seldin, Christian Igel, and Sadegh Talebi)

   "Value Estimation for Off-Policy Reinforcement Learning". Seminar at EECS International Graduate Program, NYCU, Taiwan, March 2026.

   "Towards Sample-Efficient Reinforcement Learning". Seminar at the Department of Computer Science and Engineering, NTOU, Taiwan, March 2026.

    "Tight Bounds, Catastrophic Objectives: A Case Study on Weighted Majority Votes". Seminar at the Institute of Statistics and Data Science, NTHU, Taiwan, December 2025.

    "Efficient RL and Beyond". Survey Talk at the 30th TAAI, shared with Chia-Jun Chung and Ivan Lee. Taiwan, December 2025.

    "Optimistic Posterior Sampling for Non-Stationary Linear Contextual Bandits". DeLTA Seminar, Denmark, June 2025.

    "Estimation Bias and Exploration Challenges in Off-Policy RL". DeLTA Seminar, Denmark, June 2025.

    "The Cold Posterior Effect Indicates Underfitting". Workshop of Bayesian Methods for Uncertainty Quantification, D3A Conference, Denmark, October 2024.