no code implementations • 4 Apr 2024 • Zhiyue Zhang, Yao Zhao, Yanxun Xu
However, current methods only address joint modeling of longitudinal measurements at regularly-spaced observation times and survival events, neglecting recurrent events.
no code implementations • 21 Jan 2024 • Mao Hong, Zhiyue Zhang, Yue Wu, Yanxun Xu
Model-based offline reinforcement learning methods (RL) have achieved state-of-the-art performance in many decision-making problems thanks to their sample efficiency and generalizability.
1 code implementation • NeurIPS 2020 • Zhiyue Zhang, Kenneth Lange, Jason Xu
In this paper, we propose a novel framework for sparse k-means clustering that is intuitive, simple to implement, and competitive with state-of-the-art algorithms.