Introduction to Stein Variational Gradient Descent
Let's dive into the details surrounding Stein Variational Gradient Descent. Seminar by Andrew Duncan at the UCL Centre for AI. Recorded on the 24th February 2021. Abstract Bayesian inference ...
Stein Variational Gradient Descent Comprehensive Overview
Talk at Stan Osher's ULCA level set seminar on the 21.04.2025 This presentation was part of the course "Monte Carlo Methods in Machine Learning and Artificial Intelligence" at TU Berlin. This talk is part of MCQMC 2020, the 14th International Conference in Monte Carlo & Quasi-Monte Carlo Methods in Scientific ...
Short talk for the 3rd Symposium on Advances in Approximate Bayesian Inference.
Summary & Highlights for Stein Variational Gradient Descent
- 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
- DISCUSSION MEETING DATA SCIENCE: PROBABILISTIC AND OPTIMIZATION METHODS ORGANIZERS: Vivek Borkar (IIT ...
That wraps up our extensive overview of Stein Variational Gradient Descent.
