Fearless Stochasticity in Expectation Propagation

3 June 2024

Papers citing "Fearless Stochasticity in Expectation Propagation"

11 / 11 papers shown

Title
Estimating the normal-inverse-Wishart distribution Jonathan So 27 1 0 25 May 2024
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees William J. Wilkinson Simo Särkkä Arno Solin BDL 64 16 0 02 Nov 2021
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro Du Phan Neeraj Pradhan M. Jankowiak 61 360 0 24 Dec 2019
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models Mohammad Emtiyaz Khan Wu Lin BDL 53 137 0 13 Mar 2017
GLASSES: Relieving The Myopia Of Bayesian Optimisation Javier I. González Michael A. Osborne Neil D. Lawrence 63 119 0 21 Oct 2015
Stochastic Expectation Propagation Yingzhen Li Jose Miguel Hernandez-Lobato Richard Turner 136 115 0 12 Jun 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 130 945 0 18 Feb 2015
Expectation Propagation for Continuous Time Bayesian Networks Uri Nodelman D. Koller C. Shelton 154 82 0 04 Jul 2012
MCMC using Hamiltonian dynamics Radford M. Neal 292 3,283 0 09 Jun 2012
Entropy Search for Information-Efficient Global Optimization Philipp Hennig Christian J. Schuler 123 673 0 06 Dec 2011
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo Matthew D. Hoffman Andrew Gelman 169 4,309 0 18 Nov 2011