Yan Dai

According to our database, Yan Dai authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints.

Yan Dai, Negin Golrezaei, Patrick Jaillet

CoRR, July, 2025

Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely.

Yan Dai, Moïse Blanchard, Patrick Jaillet

CoRR, February, 2025

uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs.

Yu Chen, Jiatai Huang, Yan Dai, Longbo Huang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Non-Monetary Mechanism Design without Distributional Information: Using Scarce Audits Wisely (Extended Abstract).

Yan Dai, Moïse Blanchard, Patrick Jaillet

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks.

Yan Dai, Longbo Huang

Proc. ACM Meas. Anal. Comput. Syst., December, 2024

Refined Sample Complexity for Markov Games with Independent Linear Function Approximation.

Yan Dai, Qiwen Cui, Simon S. Du

CoRR, 2024

Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise.

Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook, Yan Dai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract).

Yan Dai, Qiwen Cui, Simon S. Du

Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023

The Crucial Role of Normalization in Sharpness-Aware Minimization.

Yan Dai, Kwangjun Ahn, Suvrit Sra

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Banker Online Mirror Descent: A Universal Approach for Delayed Online Bandit Learning.

Jiatai Huang, Yan Dai, Longbo Huang

Proceedings of the International Conference on Machine Learning, 2023

Refined Regret for Adversarial MDPs with Linear Function Approximation.

Yan Dai, Haipeng Luo, Chen-Yu Wei, Julian Zimmert

Proceedings of the International Conference on Machine Learning, 2023

Variance-Aware Sparse Linear Bandits.

Yan Dai, Ruosong Wang, Simon Shaolei Du

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback.

Yan Dai, Haipeng Luo, Liyu Chen

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits.

Jiatai Huang, Yan Dai, Longbo Huang

Proceedings of the International Conference on Machine Learning, 2022