Publications

Check my Google Scholar profile for more information!

(* stands for equal contribution. Listed in reverse chronological order.)

Manuscripts

• The Crucial Role of Normalization in Sharpness-Aware Minimization
  Yan Dai*, Kwangjun Ahn, and Suvrit Sra.

Conference Publications

• [ICML 2023] Refined Regret for Adversarial MDPs with Linear Function Approximation
  Yan Dai, Haipeng Luo, Chen-Yu Wei, and Julian Zimmert.
  Accepted to the 40th International Conference on Machine Learning (ICML), 2023.
• [ICML 2023] Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning
  Jiatai Huang*, Yan Dai*, and Longbo Huang.
  Accepted to the 40th International Conference on Machine Learning (ICML), 2023.
• [ICLR 2023] Variance-Aware Sparse Linear Bandits
  Yan Dai, Ruosong Wang, and Simon S. Du.
  In the Eleventh International Conference on Learning Representations (ICLR), 2023.
  (slides, video)
• [NeurIPS 2022] Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback
  Yan Dai, Haipeng Luo, and Liyu Chen.
  In Advances in Neural Information Processing Systems 35 (NeurIPS), 2022.
  (slides, video)
• [ICML 2022] Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
  Jiatai Huang*, Yan Dai*, and Longbo Huang.
  In Proceedings of the 39th International Conference on Machine Learning (ICML), 2022.
  (video)