Yan Dai

Orcid: 0000-0001-8004-0309

Affiliations:
  • Tsinghua University, Institute for Interdisciplinary Information Sciences, Beijing, China


According to our database1, Yan Dai authored at least 11 papers between 2022 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Adversarial Network Optimization under Bandit Feedback: Maximizing Utility in Non-Stationary Multi-Hop Networks.
Proc. ACM Meas. Anal. Comput. Syst., December, 2024

uniINF: Best-of-Both-Worlds Algorithm for Parameter-Free Heavy-Tailed MABs.
CoRR, 2024

Refined Sample Complexity for Markov Games with Independent Linear Function Approximation.
CoRR, 2024

Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Refined Sample Complexity for Markov Games with Independent Linear Function Approximation (Extended Abstract).
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024

2023
The Crucial Role of Normalization in Sharpness-Aware Minimization.
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.
Proceedings of the International Conference on Machine Learning, 2023

Refined Regret for Adversarial MDPs with Linear Function Approximation.
Proceedings of the International Conference on Machine Learning, 2023

Variance-Aware Sparse Linear Bandits.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Follow-the-Perturbed-Leader for Adversarial Markov Decision Processes with Bandit Feedback.
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.
Proceedings of the International Conference on Machine Learning, 2022


  Loading...