Introduction to Stein Variational Gradient Descent
Let's dive into the details surrounding Stein Variational Gradient Descent. Talk at Stan Osher's ULCA level set seminar on the 21.04.2025
Stein Variational Gradient Descent Comprehensive Overview
This talk is part of MCQMC 2020, the 14th International Conference in Monte Carlo & Quasi-Monte Carlo Methods in Scientific ... Seminar by Andrew Duncan at the UCL Centre for AI. Recorded on the 24th February 2021. Abstract Bayesian inference ... This presentation was part of the course "Monte Carlo Methods in Machine Learning and Artificial Intelligence" at TU Berlin.
Short talk for the 3rd Symposium on Advances in Approximate Bayesian Inference.
Summary & Highlights for Stein Variational Gradient Descent
- Terrence Alsup (New York University), Luca Venturi (Courant Institute of Mathematical Sciences); Benjamin Peherstorfer (Courant ...
- The equivalence between
- ... not particle based but these methods uh this uh for example this paper SVGD stein variational
- Bayesian inference problems require sampling or approximating high-dimensional probability distributions. The focus of this talk ...
- STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent
That wraps up our extensive overview of Stein Variational Gradient Descent.