Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Edward Meeds

Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems


May 28, 2019
Geoffrey Roeder, Paul K. Grant, Andrew Phillips, Neil Dalchau, Edward Meeds

* Accepted at ICML 2019 

  Access Paper or Ask Questions

Fixing Variational Bayes: Deterministic Variational Inference for Bayesian Neural Networks


Oct 09, 2018
Anqi Wu, Sebastian Nowozin, Edward Meeds, Richard E. Turner, José Miguel Hernández-Lobato, Alexander L. Gaunt

* 9 pages, 5 figures 

  Access Paper or Ask Questions

Soft Weight-Sharing for Neural Network Compression


May 09, 2017
Karen Ullrich, Edward Meeds, Max Welling

* ICLR2017 

  Access Paper or Ask Questions

Automatic Variational ABC


Jun 28, 2016
Alexander Moreno, Tameem Adel, Edward Meeds, James M. Rehg, Max Welling


  Access Paper or Ask Questions

Optimization Monte Carlo: Efficient and Embarrassingly Parallel Likelihood-Free Inference


Dec 02, 2015
Edward Meeds, Max Welling

* NIPS 2015 camera ready 

  Access Paper or Ask Questions

MLitB: Machine Learning in the Browser


Jun 17, 2015
Edward Meeds, Remco Hendriks, Said Al Faraby, Magiel Bruntink, Max Welling

* Revised for PeerJ Computer Science 

  Access Paper or Ask Questions

Hamiltonian ABC


Mar 06, 2015
Edward Meeds, Robert Leenders, Max Welling

* Submission to UAI 2015 

  Access Paper or Ask Questions

POPE: Post Optimization Posterior Evaluation of Likelihood Free Models


Dec 09, 2014
Edward Meeds, Michael Chiang, Mary Lee, Olivier Cinquin, John Lowengrub, Max Welling


  Access Paper or Ask Questions

GPS-ABC: Gaussian Process Surrogate Approximate Bayesian Computation


Jan 13, 2014
Edward Meeds, Max Welling


  Access Paper or Ask Questions