Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors

15 March 2016

Papers citing "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors"

9 / 59 papers shown

Title
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors S. Ghosh Jiayu Yao Finale Doshi-Velez BDL UQCV 15 77 0 13 Jun 2018
A Spectral Approach to Gradient Estimation for Implicit Distributions Jiaxin Shi Shengyang Sun Jun Zhu 17 90 0 07 Jun 2018
A Unified Particle-Optimization Framework for Scalable Bayesian Sampling Changyou Chen Ruiyi Zhang Wenlin Wang Bai Li Liqun Chen 21 86 0 29 May 2018
Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation Manuel Haussmann Fred Hamprecht M. Kandemir BDL 26 6 0 19 May 2018
Kernel Implicit Variational Inference Jiaxin Shi Shengyang Sun Jun Zhu BDL 29 3 0 29 May 2017
Overcoming Catastrophic Forgetting by Incremental Moment Matching Sang-Woo Lee Jin-Hwa Kim Jaehyun Jun Jung-Woo Ha Byoung-Tak Zhang CLL 30 667 0 24 Mar 2017
Multiplicative Normalizing Flows for Variational Bayesian Neural Networks Christos Louizos Max Welling BDL 21 454 0 06 Mar 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015