approximate-bayesian-inference topic

distributed, likelihood-free inference

ICB-DCM

Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.

AaltoML

Laplace approximations for Deep Learning.

aleximmer

Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX

AaltoML

Bayesian Learning and Neural Networks (jupyter book sources)

phuijse

Using neural networks to build an expressive hierarchical distribution; A variational inference method to accurately estimate the posterior uncertainty; A fast and general method for approximate Bayes...

mingzhang-yin

Generative Models

WilliamYi96