Zhiyan Ding

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Variance Reduction

Top Venues

J. Mach. Learn. Res.

SIAM J. Numer. Anal.

Publications

Zhiyan Ding, Ethan N. Epperly, Lin Lin, Ruizhe Zhang
The ESPRIT algorithm under high noise: Optimal error scaling and noisy super-resolution. CoRR (2024)
Nilin Abrahamsen, Zhiyan Ding, Gil Goldshlager, Lin Lin
Convergence of variational Monte Carlo simulation and scale-invariant pre-training. J. Comput. Phys. 513 (2024)
Zhiyan Ding, Martin Guerra, Qin Li, Eitan Tadmor
Swarm-based gradient descent meets simulated annealing. CoRR (2024)
Shi Chen, Zhiyan Ding, Qin Li
Bayesian sampling using interacting particles. CoRR (2024)
Zhiyan Ding, Lin Lin
Simultaneous estimation of multiple eigenvalues with short-depth quantum circuit on early fault-tolerant quantum computers. Quantum 7 (2023)
Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright
On optimal bases for multiscale PDEs and Bayesian homogenization. CoRR (2023)
Shi Chen, Zhiyan Ding, Qin Li, Leonardo Zepeda-Núñez
High-Frequency Limit of the Inverse Scattering Problem: Asymptotic Convergence from Inverse Helmholtz to Inverse Liouville. SIAM J. Imaging Sci. 16 (1) (2023)
Nilin Abrahamsen, Zhiyan Ding, Gil Goldshlager, Lin Lin
Convergence of stochastic gradient descent on parameterized sphere with applications to variational Monte Carlo simulation. CoRR (2023)
Shi Chen, Zhiyan Ding, Qin Li, Leonardo Zepeda-Núñez
High-frequency limit of the inverse scattering problem: asymptotic convergence from inverse Helmholtz to inverse Liouville. CoRR (2022)
Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
Overparameterization of Deep ResNet: Zero Loss and Mean-field Analysis. J. Mach. Learn. Res. 23 (2022)
Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
Overparameterization of deep ResNet: zero loss and mean-field analysis. CoRR (2021)
Zhiyan Ding, Qin Li
Constrained Ensemble Langevin Monte Carlo. CoRR (2021)
Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
Random Coordinate Underdamped Langevin Monte Carlo. AISTATS (2021)
Zhiyan Ding, Qin Li
Ensemble Kalman Sampler: Mean-field Limit and Convergence Analysis. SIAM J. Math. Anal. 53 (2) (2021)
Zhiyan Ding, Qin Li
Ensemble Kalman inversion: mean-field limit and convergence analysis. Stat. Comput. 31 (1) (2021)
Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
Random Coordinate Langevin Monte Carlo. COLT (2021)
Zhiyan Ding, Qin Li
Langevin Monte Carlo: random coordinate descent and variance reduction. J. Mach. Learn. Res. 22 (2021)
Zhiyan Ding, Shi Chen, Qin Li, Stephen J. Wright
On the Global Convergence of Gradient Descent for multi-layer ResNets in the mean-field regime. CoRR (2021)
Zhiyan Ding, Lukas Einkemmer, Qin Li
Dynamical Low-Rank Integrator for the Linear Boltzmann Equation: Error Analysis in the Diffusion Limit. SIAM J. Numer. Anal. 59 (4) (2021)
Shi Chen, Zhiyan Ding, Qin Li, Stephen J. Wright
A reduced order Schwarz method for nonlinear multiscale elliptic equations based on two-layer neural networks. CoRR (2021)
Zhiyan Ding, Qin Li
Langevin Monte Carlo: random coordinate descent and variance reduction. CoRR (2020)
Zhiyan Ding, Qin Li
Variance reduction for Random Coordinate Descent-Langevin Monte Carlo. NeurIPS (2020)
Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
Random Coordinate Langevin Monte Carlo. CoRR (2020)
Zhiyan Ding, Qin Li, Jianfeng Lu, Stephen J. Wright
Random Coordinate Underdamped Langevin Monte Carlo. CoRR (2020)
Zhiyan Ding, Qin Li, Jianfeng Lu
Ensemble Kalman Inversion for nonlinear problems: weights, consistency, and variance bounds. CoRR (2020)
Zhiyan Ding, Qin Li
Variance reduction for Langevin Monte Carlo in high dimensional sampling problems. CoRR (2020)
Zhiyan Ding, Yiding Chen, Qin Li, Xiaojin Zhu
Error Lower Bounds of Constant Step-size Stochastic Gradient Descent. CoRR (2019)
Zhiyan Ding, Lukas Einkemmer, Qin Li
Error analysis of an asymptotic preserving dynamical low-rank integrator for the multi-scale radiative transfer equation. CoRR (2019)
Zhiyan Ding, Qin Li
Mean-field limit and numerical analysis for Ensemble Kalman Inversion: linear setting. CoRR (2019)
Zhiyan Ding, Qin Li
Ensemble Kalman Sampling: mean-field limit and convergence analysis. CoRR (2019)