Chao Ma

According to our database, Chao Ma authored at least 30 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Understanding the Generalization Benefits of Late Learning Rate Decay.

Yinuo Ren, Chao Ma, Lexing Ying

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Why self-attention is Natural for Sequence-to-Sequence Problems? A Perspective from Symmetries.

Chao Ma, Lexing Ying

CoRR, 2022

The Multiscale Structure of Neural Network Loss Functions: The Effect on Optimization and Origin.

Chao Ma, Lei Wu, Lexing Ying

CoRR, 2022

Provably convergent quasistatic dynamics for mean-field two-player zero-sum games.

Chao Ma, Lexing Ying

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

A Riemannian Mean Field Formulation for Two-layer Neural Networks with Batch Normalization.

Chao Ma, Lexing Ying

CoRR, 2021

The Sobolev Regularization Effect of Stochastic Gradient Descent.

Chao Ma, Lexing Ying

CoRR, 2021

On Linear Stability of SGD and Input-Smoothness of Neural Networks.

Chao Ma, Lexing Ying

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Qualitative Study of the Dynamic Behavior for Adaptive Gradient Algorithms.

Chao Ma, Lei Wu, Weinan E

Proceedings of the Mathematical and Scientific Machine Learning, 2021

2020

Heterogeneous Multireference Alignment for Images With Application to 2D Classification in Single Particle Reconstruction.

Chao Ma, Tamir Bendory, Nicolas Boumal, Fred J. Sigworth, Amit Singer

IEEE Trans. Image Process., 2020

Achieving Adversarial Robustness Requires An Active Teacher.

Chao Ma, Lexing Ying

CoRR, 2020

Towards a Mathematical Understanding of Neural Network-Based Machine Learning: what we know and what we don't.

Weinan E, Chao Ma, Stephan Wojtowytsch, Lei Wu

CoRR, 2020

Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms.

Zhong Li, Chao Ma, Lei Wu

CoRR, 2020

The Quenching-Activation Behavior of the Gradient Descent Dynamics for Two-layer Neural Network Models.

Chao Ma, Lei Wu, Weinan E

CoRR, 2020

A Mean-field Analysis of Deep ResNet and Beyond: Towards Provable Optimization Via Overparameterization From Depth.

Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying

CoRR, 2020

Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning.

Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Slow Deterioration of the Generalization Error of the Random Feature Model.

Chao Ma, Lei Wu, Weinan E

Proceedings of Mathematical and Scientific Machine Learning, 2020

A Mean Field Analysis Of Deep ResNet And Beyond: Towards Provably Optimization Via Overparameterization From Depth.

Yiping Lu, Chao Ma, Yulong Lu, Jianfeng Lu, Lexing Ying

Proceedings of the 37th International Conference on Machine Learning, 2020

A Priori Estimates of the Generalization Error for Autoencoders.

Zehao Don, Weinan E, Chao Ma

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Globally Convergent Levenberg-Marquardt Method for Phase Retrieval.

Chao Ma, Xin Liu, Zaiwen Wen

IEEE Trans. Inf. Theory, 2019

Machine Learning from a Continuous Viewpoint.

Weinan E, Chao Ma, Lei Wu

CoRR, 2019

On the Generalization Properties of Minimum-norm Solutions for Over-parameterized Neural Network Models.

Weinan E, Chao Ma, Lei Wu

CoRR, 2019

Barron Spaces and the Compositional Function Spaces for Neural Network Models.

Weinan E, Chao Ma, Lei Wu

CoRR, 2019

Analysis of the Gradient Descent Algorithm for a Deep Neural Network Model with Skip-connections.

Weinan E, Chao Ma, Qingcan Wang, Lei Wu

CoRR, 2019

A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent Dynamics.

Weinan E, Chao Ma, Lei Wu

CoRR, 2019

A Priori Estimates of the Population Risk for Residual Networks.

Weinan E, Chao Ma, Qingcan Wang

CoRR, 2019

Global Convergence of Gradient Descent for Deep Linear Residual Networks.

Lei Wu, Qingcan Wang, Chao Ma

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Bispectrum Inversion With Application to Multireference Alignment.

Tamir Bendory, Nicolas Boumal, Chao Ma, Zhizhen Zhao, Amit Singer

IEEE Trans. Signal Process., 2018

A Priori Estimates of the Generalization Error for Two-layer Neural Networks.

Weinan E, Chao Ma, Lei Wu

CoRR, 2018

Model Reduction with Memory and the Machine Learning of Dynamical Systems.

Chao Ma, Jianchun Wang, Weinan E

CoRR, 2018

How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective.

Lei Wu, Chao Ma, Weinan E

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018