Wen, Zaiwen

8 publications

ICML 2025 A Memory Efficient Randomized Subspace Optimization Method for Training Large Language Models Yiming Chen, Yuan Zhang, Yin Liu, Kun Yuan, Zaiwen Wen

NeurIPS 2025 Accelerating Optimization via Differentiable Stopping Time Zhonglin Xie, Yiman Fong, Haoran Yuan, Zaiwen Wen

ICLR 2025 Enhancing Zeroth-Order Fine-Tuning for Language Models with Low-Rank Structures Yiming Chen, Yuan Zhang, Liyuan Cao, Kun Yuan, Zaiwen Wen

ICML 2025 OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling Hongliang Lu, Zhonglin Xie, Yaoyu Wu, Can Ren, Yuxuan Chen, Zaiwen Wen

NeurIPS 2025 Tree-Based Premise Selection for Lean4 Zichen Wang, Anjie Dong, Zaiwen Wen

ICML 2024 An Improved Finite-Time Analysis of Temporal Difference Learning with Deep Neural Networks Zhifa Ke, Zaiwen Wen, Junyu Zhang

NeurIPS 2022 A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP Fan Chen, Junyu Zhang, Zaiwen Wen

CVPR 2021 Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods Minghan Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen