Applied Math And Analysis Seminar
Monday, August 20, 2018, 11:00am, Physics 047
Yulong Lu (Duke University)
Scaling limit analysis of Stein variational gradient descent

Abstract:

The Stein variational gradient descent (SVGD) was proposed by Liu and Wang as a deterministic algorithm for sampling from a given probability density with unknown normalization. The key idea is to involve a system of interacting particles in an optimized way so that the empirical measure approximates a target distribution. In this talk, I will first introduce the algorithm and compare it with some stochastic-dynamics-based sampling methods. I will also present some recent rigorous analysis results on the mean field limit and long time behavior of the resulting mean field partial differential equation. This is a joint work with Jianfeng Lu and James Nolen.

---

Generated at 6:46am Thursday, April 25, 2024 by Mcal.   Top * Reload * Login