Zhiyan Ding

According to our database, Zhiyan Ding authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

2024

Bayesian sampling using interacting particles.

Shi Chen, Zhiyan Ding, Qin Li

CoRR, 2024

2023

Simultaneous estimation of multiple eigenvalues with short-depth quantum circuit on early fault-tolerant quantum computers.

Zhiyan Ding, Lin Lin

Quantum, October, 2023

High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville.

Shi Chen, Zhiyan Ding, Qin Li, Leonardo Zepeda-Núñez

SIAM J. Imaging Sci., March, 2023

On optimal bases for multiscale PDEs and Bayesian homogenization.

Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright

CoRR, 2023

Convergence of stochastic gradient descent on parameterized sphere with applications to variational Monte Carlo simulation.

Nilin Abrahamsen, Zhiyan Ding, Gil Goldshlager, Lin Lin

CoRR, 2023

2022

Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis.

Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright

J. Mach. Learn. Res., 2022

2021

Dynamical Low-Rank Integrator for the Linear Boltzmann Equation: Error Analysis in the Diffusion Limit.

Zhiyan Ding, Lukas Einkemmer, Qin Li

SIAM J. Numer. Anal., 2021

Ensemble Kalman Sampler: Mean-field Limit and Convergence Analysis.

Zhiyan Ding, Qin Li

SIAM J. Math. Anal., 2021

Ensemble Kalman inversion: mean-field limit and convergence analysis.

Zhiyan Ding, Qin Li

Stat. Comput., 2021

Langevin Monte Carlo: random coordinate descent and variance reduction.

Zhiyan Ding, Qin Li

J. Mach. Learn. Res., 2021

A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks.

Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright

CoRR, 2021

On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime.

Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright

CoRR, 2021

Constrained Ensemble Langevin Monte Carlo.

Zhiyan Ding, Qin Li

CoRR, 2021

Random Coordinate Langevin Monte Carlo.

Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright

Proceedings of the Conference on Learning Theory, 2021

Random Coordinate Underdamped Langevin Monte Carlo.

Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Variance reduction for Langevin Monte Carlo in high dimensional sampling problems.

Zhiyan Ding, Qin Li

CoRR, 2020

Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds.

Zhiyan Ding, Qin Li, Jianfeng Lu

CoRR, 2020

Variance reduction for Random Coordinate Descent-Langevin Monte Carlo.

Zhiyan Ding, Qin Li

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

2019

Ensemble Kalman Sampling: mean-field limit and convergence analysis.

Zhiyan Ding, Qin Li

CoRR, 2019

Error Lower Bounds of Constant Step-size Stochastic Gradient Descent.

Zhiyan Ding, Yiding Chen, Qin Li, Xiaojin Zhu

CoRR, 2019

Mean-field limit and numerical analysis for Ensemble Kalman Inversion: linear setting.

Zhiyan Ding, Qin Li

CoRR, 2019

Error analysis of an asymptotic preserving dynamical low-rank integrator for the multi-scale radiative transfer equation.

Zhiyan Ding, Lukas Einkemmer, Qin Li

CoRR, 2019