svgd

Code for the paper "Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift"

Stochastic Multiple Target Sampling Gradient Descent (NeurIPS 2022)

Samplers from the paper "Stochastic Gradient MCMC with Repulsive Forces"

Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning

TensorFlow Implementation of Stein Variational Gradient Descent (SVGD)

Accelerated Stein Variational Gradient Descent for sampling for densities

An implementation of SVGD in PyTorch

Constrained Global Optimization through Stein Variational Inference

Hands on Stein Variational Gradient Descent (SVGD) - Set of simple tutorials

A library for the Stein Variational Gradient Descent algorithm in C++.

Posterior sampling with convolutional neural network-based plug-and-play regularization with applications to poststack seismic inversion

Code for reimplementing "Stein Variational Gradient Descent (SVGD)" method.

Multirate SVGD benchmark suite in JAX for Bayesian sampling: fixed/adaptive multirate variants vs SVGD, SGLD, and SGHMC across 50D Gaussian, 2D synthetic targets, UCI logistic/BNN tasks, and large-scale hierarchical logistic regression.

Code to reproduce the results in "Dual-space posterior sampling for Bayesian inference in constrained inverse problems"