Neural Variational Gradient Descent

2 code implementations • pproximateinference AABI Symposium 2022 • Lauro Langosco di Langosco, Vincent Fortuin, Heiko Strathmann

Particle-based approximate Bayesian inference approaches such as Stein Variational Gradient Descent (SVGD) combine the flexibility and convergence guarantees of sampling methods with the computational benefits of variational inference.

Bayesian Inference regression +1