Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits. - Jiatai Huang; Yan Dai 002; Longbo Huang (ICML, 2022)

Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback. - Yan Dai 002; Haipeng Luo; Liyu Chen (NeurIPS, 2022)

Variance-Aware Sparse Linear Bandits. - Yan Dai 002; Ruosong Wang; Simon Shaolei Du (ICLR, 2023)

Refined Regret for Adversarial MDPs with Linear Function Approximation. - Yan Dai 002; Haipeng Luo; Chen-Yu Wei; Julian Zimmert (ICML, 2023)

Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning. - Jiatai Huang; Yan Dai 002; Longbo Huang (ICML, 2023)

The Crucial Role of Normalization in Sharpness-Aware Minimization. - Yan Dai 002; Kwangjun Ahn; Suvrit Sra (NeurIPS, 2023)

Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract). - Yan Dai 002; Qiwen Cui; Simon S. Du (COLT, 2024)

Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise. - Kwangjun Ahn; Zhiyu Zhang; Yunbum Kook; Yan Dai 002 (ICML, 2024)

Refined Sample Complexity for Markov Games with Independent Linear Function Approximation. - Yan Dai 002; Qiwen Cui; Simon S. Du (CoRR, 2024)

Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks. - Yan Dai 002; Longbo Huang (Proc. ACM Meas. Anal. Comput. Syst., 2024)

Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely (Extended Abstract). - Yan Dai 002; Moïse Blanchard; Patrick Jaillet (COLT, 2025)

uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs. - Yu Chen 074; Jiatai Huang; Yan Dai 002; Longbo Huang (ICLR, 2025)

Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely. - Yan Dai 002; Moïse Blanchard; Patrick Jaillet (CoRR, 2025)

Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints. - Yan Dai 002; Negin Golrezaei; Patrick Jaillet (CoRR, 2025)