Dachao Lin - RankMe

21 papers A* 5Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the Convergence of Projected Policy Gradient for Any Constant Step Sizes. J. Mach. Learn. Res. Jiacai Liu, Wenye Li, Dachao Lin, Ke Wei, Zhihua Zhang
2024	J	`jnl`	LocMoE+: Enhanced Router with Token Feature Awareness for Efficient LLM Pre-Training. CoRR Jing Li, Zhijie Sun, Dachao Lin, Xuan He, Yi Lin, Binfan Zheng, Li Zeng, Rongqian Zhao, Xin Chen
2023	A*	`conf`	Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis. NeurIPS Dachao Lin, Yuze Han, Haishan Ye, Zhihua Zhang
2023	J	`jnl`	Stochastic Distributed Optimization under Average Second-order Similarity: Algorithms and Analysis. CoRR Dachao Lin, Yuze Han, Haishan Ye, Zhihua Zhang
2023	J	`jnl`	Towards explicit superlinear convergence rate for SR1. Math. Program. Haishan Ye, Dachao Lin, Xiangyu Chang, Zhihua Zhang
2022	J	`jnl`	Explicit Convergence Rates of Greedy and Random Quasi-Newton Methods. J. Mach. Learn. Res. Dachao Lin, Haishan Ye, Zhihua Zhang
2022	J	`jnl`	Global Convergence Analysis of Deep Linear Networks with A One-neuron Layer. CoRR Kun Chen, Dachao Lin, Zhihua Zhang
2022	A*	`conf`	On Non-local Convergence Analysis of Deep Linear Networks. ICML Kun Chen, Dachao Lin, Zhihua Zhang
2022	J	`jnl`	On the Convergence of Policy in Unregularized Policy Mirror Descent. CoRR Dachao Lin, Zhihua Zhang
2022	J	`jnl`	On the landscape of one-hidden-layer sparse networks and beyond. Artif. Intell. Dachao Lin, Ruoyu Sun, Zhihua Zhang
2021	J	`jnl`	Directional Convergence Analysis under Spherically Symmetric Distribution. CoRR Dachao Lin, Zhihua Zhang
2021	A*	`conf`	Faster Directional Convergence of Linear Neural Networks under Spherically Symmetric Data. NeurIPS Dachao Lin, Ruoyu Sun, Zhihua Zhang
2021	J	`jnl`	Greedy and Random Broyden's Methods with Explicit Superlinear Convergence Rates in Nonlinear Equations. CoRR Haishan Ye, Dachao Lin, Zhihua Zhang
2021	A*	`conf`	Greedy and Random Quasi-Newton Methods with Faster Explicit Superlinear Convergence. NeurIPS Dachao Lin, Haishan Ye, Zhihua Zhang
2021	J	`jnl`	Meta-Regularization: An Approach to Adaptive Choice of the Learning Rate in Gradient Descent. CoRR Guangzeng Xie, Hao Jin, Dachao Lin, Zhihua Zhang
2020	J	`jnl`	Landscape of Sparse Linear Network: A Brief Investigation. CoRR Dachao Lin, Ruoyu Sun, Zhihua Zhang
2020	J	`jnl`	Optimal Quantization for Batch Normalization in Neural Network Deployments and Beyond. CoRR Dachao Lin, Peiqin Sun, Guangzeng Xie, Shuchang Zhou, Zhihua Zhang
2019	A*	`conf`	Toward Understanding the Importance of Noise in Training Neural Networks. ICML Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao
2019	J	`jnl`	Towards Better Generalization: BP-SVRG in Training Deep Neural Networks. CoRR Hao Jin, Dachao Lin, Zhihua Zhang
2019	J	`jnl`	Towards Understanding the Importance of Noise in Training Neural Networks. CoRR Mo Zhou, Tianyi Liu, Yan Li, Dachao Lin, Enlu Zhou, Tuo Zhao
2010	—	`conf`	Application research of comprehensive evaluation based on the theory of unascertainty measure. FSKD Jinshun Wu, Dachao Lin, Genyin Cheng, Weijie Zhang