Talks

• Refined Regret for Adversarial MDPs with Linear Function Approximation
  Yan Dai, Haipeng Luo, Chen-Yu Wei, and Julian Zimmert.
  @ International Conference on Machine Learning (ICML), Hawaii Convention Center, Jul 2023.
• Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
  Jiatai Huang*, Yan Dai*, and Longbo Huang.
  @ International Conference on Machine Learning (ICML), Hawaii Convention Center, Jul 2023.
• Variance-Aware Sparse Linear Bandits
  Yan Dai, Ruosong Wang, and Simon S. Du.
  @ International Conference on Learning Representations (ICLR), Kigali Convention Centre, May 2023.
  @ FAI-Seminar, Online, Apr 2023.
  @ Yao Class Seminar, Tsinghua University, Mar 2023.
  [slides]
• Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback
  Yan Dai, Haipeng Luo, and Liyu Chen.
  @ Conference on Neural Information Processing Systems (NeurIPS), Online, Dec 2022.
  [slides]
• Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
  Jiatai Huang*, Yan Dai*, and Longbo Huang.
  @ SparkDay (in Chinese), Tsinghua University, May 2022.
  [slides (in Chinese)]