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On the Importance of Strong Baselines in Bayesian Deep Learning
v1v2 (latest)

On the Importance of Strong Baselines in Bayesian Deep Learning

23 November 2018
Jishnu Mukhoti
Pontus Stenetorp
Y. Gal
    UQCVBDL
ArXiv (abs)PDFHTML

Papers citing "On the Importance of Strong Baselines in Bayesian Deep Learning"

5 / 5 papers shown
Title
ELBOing Stein: Variational Bayes with Stein Mixture Inference
ELBOing Stein: Variational Bayes with Stein Mixture Inference
Ola Rønning
Eric T. Nalisnick
Christophe Ley
Padhraic Smyth
Thomas Hamelryck
BDL
90
1
0
30 Oct 2024
Deep Reinforcement Learning that Matters
Deep Reinforcement Learning that Matters
Peter Henderson
Riashat Islam
Philip Bachman
Joelle Pineau
Doina Precup
David Meger
OffRL
118
1,954
0
19 Sep 2017
Structured and Efficient Variational Deep Learning with Matrix Gaussian
  Posteriors
Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteriors
Christos Louizos
Max Welling
BDL
60
257
0
15 Mar 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCVBDL
829
9,318
0
06 Jun 2015
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural
  Networks
Probabilistic Backpropagation for Scalable Learning of Bayesian Neural Networks
José Miguel Hernández-Lobato
Ryan P. Adams
UQCVBDL
130
946
0
18 Feb 2015
1