Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients

24 April 2019

Papers citing "Facilitating Bayesian Continual Learning by Natural Gradients and Stein Gradients"

7 / 7 papers shown

Title
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent Trevor Campbell Tamara Broderick 66 137 0 05 Feb 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 166 479 0 24 May 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 369 7,547 0 02 Dec 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 73 1,092 0 16 Aug 2016
Revisiting Natural Gradient for Deep Networks Razvan Pascanu Yoshua Bengio ODL 162 389 0 16 Jan 2013
Stochastic Variational Inference Matt Hoffman David M. Blei Chong-Jun Wang John Paisley BDL 259 2,625 0 29 Jun 2012