Chao Ma - RankMe

37 papers A* 6A 1Misc 1Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Understanding the Generalization Benefits of Late Learning Rate Decay. AISTATS Yinuo Ren, Chao Ma, Lexing Ying
2024	J	`jnl`	Understanding the Generalization Benefits of Late Learning Rate Decay. CoRR Yinuo Ren, Chao Ma, Lexing Ying
2022	A*	`conf`	Provably convergent quasistatic dynamics for mean-field two-player zero-sum games. ICLR Chao Ma, Lexing Ying
2022	J	`jnl`	Provably convergent quasistatic dynamics for mean-field two-player zero-sum games. CoRR Chao Ma, Lexing Ying
2022	J	`jnl`	The Multiscale Structure of Neural Network Loss Functions: The Effect on Optimization and Origin. CoRR Chao Ma, Lei Wu, Lexing Ying
2022	J	`jnl`	Why self-attention is Natural for Sequence-to-Sequence Problems? A Perspective from Symmetries. CoRR Chao Ma, Lexing Ying
2021	—	`conf`	A Qualitative Study of the Dynamic Behavior for Adaptive Gradient Algorithms. MSML Chao Ma, Lei Wu, Weinan E
2021	J	`jnl`	A Riemannian Mean Field Formulation for Two-layer Neural Networks with Batch Normalization. CoRR Chao Ma, Lexing Ying
2021	A*	`conf`	On Linear Stability of SGD and Input-Smoothness of Neural Networks. NeurIPS Chao Ma, Lexing Ying
2021	J	`jnl`	The Sobolev Regularization Effect of Stochastic Gradient Descent. CoRR Chao Ma, Lexing Ying
2020	A*	`conf`	A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth. ICML Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying
2020	J	`jnl`	A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth. CoRR Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying
2020	Misc	`conf`	A Priori Estimates of the Generalization Error for Autoencoders. ICASSP Zehao Don, Weinan E, Chao Ma
2020	J	`jnl`	A Qualitative Study of the Dynamic Behavior of Adaptive Gradient Algorithms. CoRR Chao Ma, Lei Wu, Weinan E
2020	J	`jnl`	Achieving Adversarial Robustness Requires An Active Teacher. CoRR Chao Ma, Lexing Ying
2020	J	`jnl`	Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms. CoRR Zhong Li, Chao Ma, Lei Wu
2020	J	`jnl`	Heterogeneous Multireference Alignment for Images With Application to 2D Classification in Single Particle Reconstruction. IEEE Trans. Image Process. Chao Ma, Tamir Bendory, Nicolas Boumal, Fred J. Sigworth, Amit Singer
2020	J	`jnl`	The Quenching-Activation Behavior of the Gradient Descent Dynamics for Two-layer Neural Network Models. CoRR Chao Ma, Lei Wu, Weinan E
2020	—	`conf`	The Slow Deterioration of the Generalization Error of the Random Feature Model. MSML Chao Ma, Lei Wu, Weinan E
2020	J	`jnl`	The Slow Deterioration of the Generalization Error of the Random Feature Model. CoRR Chao Ma, Lei Wu, Weinan E
2020	J	`jnl`	Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning. CoRR Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven C. H. Hoi, Weinan E
2020	A*	`conf`	Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning. NeurIPS Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E
2020	J	`jnl`	Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't. CoRR Weinan E, Chao Ma, Stephan Wojtowytsch, Lei Wu
2019	J	`jnl`	A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics. CoRR Weinan E, Chao Ma, Lei Wu
2019	J	`jnl`	A Priori Estimates of the Population Risk for Residual Networks. CoRR Weinan E, Chao Ma, Qingcan Wang
2019	J	`jnl`	Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections. CoRR Weinan E, Chao Ma, Qingcan Wang, Lei Wu
2019	J	`jnl`	Barron Spaces and the Compositional Function Spaces for Neural Network Models. CoRR Weinan E, Chao Ma, Lei Wu
2019	A*	`conf`	Global Convergence of Gradient Descent for Deep Linear Residual Networks. NeurIPS Lei Wu, Qingcan Wang, Chao Ma
2019	J	`jnl`	Global Convergence of Gradient Descent for Deep Linear Residual Networks. CoRR Lei Wu, Qingcan Wang, Chao Ma
2019	J	`jnl`	Globally Convergent Levenberg-Marquardt Method for Phase Retrieval. IEEE Trans. Inf. Theory Chao Ma, Xin Liu, Zaiwen Wen
2019	J	`jnl`	Machine Learning from a Continuous Viewpoint. CoRR Weinan E, Chao Ma, Lei Wu
2019	J	`jnl`	On the Generalization Properties of Minimum-norm Solutions for Over-parameterized Neural Network Models. CoRR Weinan E, Chao Ma, Lei Wu
2018	J	`jnl`	A Priori Estimates of the Generalization Error for Two-layer Neural Networks. CoRR Weinan E, Chao Ma, Lei Wu
2018	J	`jnl`	Bispectrum Inversion With Application to Multireference Alignment. IEEE Trans. Signal Process. Tamir Bendory, Nicolas Boumal, Chao Ma, Zhizhen Zhao, Amit Singer
2018	A*	`conf`	How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective. NeurIPS Lei Wu, Chao Ma, Weinan E
2018	J	`jnl`	Model Reduction with Memory and the Machine Learning of Dynamical Systems. CoRR Chao Ma, Jianchun Wang, Weinan E
2017	J	`jnl`	Bispectrum Inversion with Application to Multireference Alignment. CoRR Tamir Bendory, Nicolas Boumal, Chao Ma, Zhizhen Zhao, Amit Singer