activity
20172024
most citedA stochastic version of Stein Variational Gradient Descent for efficient sampling

37 citations · 43 across the 6 of their papers we have counts for

collaborators

6 papers

math.AP2024

Some properties on the reversibility and the linear response theory of Langevin dynamics

Yuan Gao, Jian-Guo Liu, Zibu Liu

Linear response theory is a fundamental framework studying the macroscopic response of a physical system to an external perturbation. This paper focuses on the rigorous mathematica…

math.NA2023

Diffusion approximations of Oja's online principal component analysis

Jian-Guo Liu, Zibu Liu

Oja's algorithm of principal component analysis (PCA) has been one of the methods utilized in practice to reduce dimension. In this paper, we focus on the convergence property of t…

math.CA2022

Convergence of Oja's online principal component flow

Jian-Guo Liu, Zibu Liu

Online principal component analysis (PCA) has been an efficient tool in practice to reduce dimension. However, convergence properties of the corresponding ODE are still unknown, in…

math.AP2020★ 6 cited

Existence and rigidity of the Peierls-Nabarro model for dislocations in high dimensions

Yuan Gao, Jian-Guo Liu, Zibu Liu

We focus on existence and rigidity problems of the vectorial Peierls-Nabarro (PN) model for dislocations. Under the assumption that the misfit potential on the slip plane only depe…

stat.ML2019★ 37 cited

A stochastic version of Stein Variational Gradient Descent for efficient sampling

Lei Li, Yingzhou Li, Jian-Guo Liu +2

We propose in this work RBM-SVGD, a stochastic version of Stein Variational Gradient Descent (SVGD) method for efficiently sampling from a given probability measure and thus useful…

math.NA2017

On Runge-Kutta methods for the water wave equation and its simplified nonlocal hyperbolic model

Lei Li, Jian-Guo Liu, Zibu Liu +2

There is a growing interest in investigating numerical approximations of the water wave equation in recent years, whereas the lack of rigorous analysis of its time discretization i…