Kaicheng Jin

According to our database, Kaicheng Jin authored at least 4 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Accelerated Distributional Temporal Difference Learning with Linear Function Approximation.

Kaicheng Jin, Yang Peng, Jiansheng Yang, Zhihua Zhang

CoRR, November, 2025

A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise.

Jingxin Zhan, Yuchen Xin, Kaicheng Jin, Zhihua Zhang

CoRR, January, 2025

A Finite Sample Analysis of Distributional TD Learning with Linear Function Approximation.

Yang Peng, Kaicheng Jin, Liangyu Zhang, Zhihua Zhang

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

2024

Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation.

Chuhan Xie, Kaicheng Jin, Jiadong Liang, Zhihua Zhang

CoRR, 2024