Chunyang Liao

According to our database, Chunyang Liao authored at least 11 papers between 2003 and 2025.

Collaborative distances:

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

2025

Cauchy Random Features for Operator Learning in Sobolev Space.

Chunyang Liao, Deanna Needell, Hayden Schaeffer

CoRR, March, 2025

Solving Partial Differential Equations with Random Feature Models.

Chunyang Liao

CoRR, January, 2025

2024

Radius of information for two intersected centered hyperellipsoids and implications in optimal recovery from inaccurate data.

Simon Foucart, Chunyang Liao

J. Complex., 2024

Differentially Private Random Feature Model.

Chunyang Liao, Deanna Needell, Alexander Xue

CoRR, 2024

2023

S-Procedure Relaxation: a Case of Exactness Involving Chebyshev Centers.

Simon Foucart, Chunyang Liao

CoRR, 2023

On the Optimal Recovery of Graph Signals.

Simon Foucart, Chunyang Liao, Nate Veldt

CoRR, 2023

2022

A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks.

Mingrui Liu, Zhenxun Zhuang, Yunwei Lei, Chunyang Liao

CoRR, 2022

A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks.

Mingrui Liu, Zhenxun Zhuang, Yunwen Lei, Chunyang Liao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Optimal Recovery from Inaccurate Data in Hilbert Spaces: Regularize, but what of the Parameter?

Simon Foucart, Chunyang Liao

CoRR, 2021

2020

Learning from Non-IID Data in Hilbert Spaces: An Optimal Recovery Perspective.

Simon Foucart, Chunyang Liao, Shahin Shahrampour, Yinsong Wang

CoRR, 2020

2003

Preliminary approach to estimation and prediction of infrared spectroscopy for Mannich bases by atomic electronegativity distance vector (VAED).

Chunyang Liao, Zhitao Chen, Zihui Yin, Shengshi Z. Li

Comput. Biol. Chem., 2003