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

Long short-term memory

Sepp Hochreiter and Jürgen Schmidhuber · 1997

Earlier work this paper cites.

A review of unsupervised feature learning and deep learning for time-series modeling

Martin Längkvist, Lars Karlsson, and Amy Loutfi · 2014

Earlier work this paper cites.

Weight uncertainty in neural networks

Original

Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, and Daan Wierstra · 2015

Earlier work this paper cites.

Probabilistic backpropagation for scalable learning of bayesian neural networks

José Miguel Hernández-Lobato and Ryan Adams · 2015

Earlier work this paper cites.

Stein variational gradient descent: A general purpose bayesian inference algorithm

Qiang Liu and Dilin Wang · 2016

Cited alongside, same era.

Convolutional sequence to sequence learning

Original

Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N Dauphin · 2017

Cited alongside, same era.

Simple and scalable predictive uncertainty estimation using deep ensembles

Balaji Lakshminarayanan, Alexander Pritzel, and Charles Blundell · 2017

Cited alongside, same era.

Multiplicative normalizing flows for variational bayesian neural networks

Original

Christos Louizos and Max Welling · 2017

Cited alongside, same era.

Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Yarin Gal and Zoubin Ghahramani

Cited in the paper.

A theoretically grounded application of dropout in recurrent neural networks

Yarin Gal and Zoubin Ghahramani

Cited in the paper.

Dropout inference in bayesian neural networks with alpha-divergences

Original

Yingzhen Li and Yarin Gal · 2017

Later among the works it cites.

Deep and confident prediction for time series at uber

Lingxue Zhu and Nikolay Laptev · 2017

Later among the works it cites.

Stein variational gradient descent as gradient flow

Original

Qiang Liu · 2017

Later among the works it cites.

Probabilistic meta-representations of neural networks

Original

Theofanis Karaletsos, Peter Dayan, and Zoubin Ghahramani · 2018

Later among the works it cites.