Yu-Hu Yan

According to our database, Yu-Hu Yan authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

Towards Fully Parameter-Free Stochastic Optimization: Grid Search with Self-Bounding Analysis.

Yuheng Zhao, Yu-Hu Yan, Amit Attia, Tomer Koren, Lijun Zhang, Peng Zhao

CoRR, April, 2026

Improved Dimension Dependence for Bandit Convex Optimization with Gradient Variations.

Hang Yu, Yu-Hu Yan, Peng Zhao

CoRR, February, 2026

2025

Adaptivity and Universality: Problem-dependent Universal Regret for Online Convex Optimization.

Peng Zhao, Yu-Hu Yan, Hang Yu, Zhi-Hua Zhou

CoRR, November, 2025

Gradient-Variation Online Adaptivity for Accelerated Optimization with Hölder Smoothness.

Yuheng Zhao, Yu-Hu Yan, Kfir Yehuda Levy, Peng Zhao

CoRR, November, 2025

Optimistic Online-to-Batch Conversions for Accelerated Convergence and Universality.

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

A Simple and Optimal Approach for Universal Online Learning with Gradient Variations.

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Handling Heterogeneous Curvatures in Bandit LQR Control.

Yu-Hu Yan, Jing Wang, Peng Zhao

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

2023

Non-stationary Online Learning with Memory and Non-stochastic Control.

Peng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou

J. Mach. Learn. Res., 2023

Online Non-stochastic Control with Partial Feedback.

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

J. Mach. Learn. Res., 2023

Universal Online Learning with Gradual Variations: A Multi-layer Online Ensemble Approach.

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

CoRR, 2023

Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach.

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

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

Fast Rates in Time-Varying Strongly Monotone Games.

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the International Conference on Machine Learning, 2023

2021

Towards Enabling Learnware to Handle Unseen Jobs.

Yu-Jie Zhang, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Storage Fit Learning with Feature Evolvable Streams.

Bo-Jian Hou, Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021