Lin, Dachao

7 publications

JMLR 2025 On the Convergence of Projected Policy Gradient for Any Constant Step Sizes Jiacai Liu, Wenye Li, Dachao Lin, Ke Wei, Zhihua Zhang

NeurIPS 2023 Stochastic Distributed Optimization Under Average Second-Order Similarity: Algorithms and Analysis Dachao Lin, Yuze Han, Haishan Ye, Zhihua Zhang

JMLR 2022 Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods Dachao Lin, Haishan Ye, Zhihua Zhang

ICML 2022 On Non-Local Convergence Analysis of Deep Linear Networks Kun Chen, Dachao Lin, Zhihua Zhang

NeurIPS 2021 Faster Directional Convergence of Linear Neural Networks Under Spherically Symmetric Data Dachao Lin, Ruoyu Sun, Zhihua Zhang

NeurIPS 2021 Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence Dachao Lin, Haishan Ye, Zhihua Zhang

ICML 2019 Toward Understanding the Importance of Noise in Training Neural Networks Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao