Dachao Lin - researchr alias

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Viewing Publication 1 - 9 from 9

2023

Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and AnalysisDachao Lin, Yuze Han, Haishan Ye, Zhihua Zhang. nips 2023: [doi]

Towards explicit superlinear convergence rate for SR1Haishan Ye, Dachao Lin, Xiangyu Chang, Zhihua Zhang. mp, 199(1):1273-1303, May 2023. [doi]

2022

On Non-local Convergence Analysis of Deep Linear NetworksKun Chen, Dachao Lin, Zhihua Zhang. icml 2022: 3417-3443 [doi]

Explicit Convergence Rates of Greedy and Random Quasi-Newton MethodsDachao Lin, Haishan Ye, Zhihua Zhang. jmlr, 23, 2022. [doi]

On the landscape of one-hidden-layer sparse networks and beyondDachao Lin, Ruoyu Sun 0001, Zhihua Zhang. ai, 309:103739, 2022. [doi]

2021

Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear ConvergenceDachao Lin, Haishan Ye, Zhihua Zhang. nips 2021: 6646-6657 [doi]

Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric DataDachao Lin, Ruoyu Sun 0001, Zhihua Zhang. nips 2021: 4647-4660 [doi]

2019

Toward Understanding the Importance of Noise in Training Neural NetworksMo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao. icml 2019: 7594-7602 [doi]

2010

Application research of comprehensive evaluation based on the theory of unascertainty measureJinshun Wu, Dachao Lin, Genyin Cheng, Weijie Zhang. fskd 2010: 1101-1104 [doi]

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