Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference

17 January 2019

Papers citing "Applying SVGD to Bayesian Neural Networks for Cyclical Time-Series Prediction and Inference"

7 / 7 papers shown

Title
Deep and Confident Prediction for Time Series at Uber Lingxue Zhu N. Laptev BDL AI4TS 154 345 0 06 Sep 2017
Stein Variational Gradient Descent as Gradient Flow Qiang Liu OT 80 276 0 25 Apr 2017
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 73 1,092 0 16 Aug 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Y. Gal Zoubin Ghahramani UQCV DRL BDL 187 1,650 0 16 Dec 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 824 9,318 0 06 Jun 2015
Weight Uncertainty in Neural Networks Charles Blundell Julien Cornebise Koray Kavukcuoglu Daan Wierstra UQCV BDL 187 1,887 0 20 May 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks José Miguel Hernández-Lobato Ryan P. Adams UQCV BDL 130 946 0 18 Feb 2015