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Mean-Field Approximation to Gaussian-Softmax Integral with Application
  to Uncertainty Estimation

Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation

13 June 2020
Zhiyun Lu
Eugene Ie
Fei Sha
    UQCV
    BDL
ArXivPDFHTML

Papers citing "Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation"

5 / 5 papers shown
Title
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Efficient Bayesian Updates for Deep Learning via Laplace Approximations
Denis Huseljic
M. Herde
Lukas Rauch
Paul Hahn
Zhixin Huang
D. Kottke
S. Vogt
Bernhard Sick
BDL
16
0
0
12 Oct 2022
A Simple Approach to Improve Single-Model Deep Uncertainty via
  Distance-Awareness
A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
J. Liu
Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
Zachary Nado
Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCV
BDL
16
48
0
01 May 2022
Fast Predictive Uncertainty for Classification with Bayesian Deep
  Networks
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks
Marius Hobbhahn
Agustinus Kristiadi
Philipp Hennig
BDL
UQCV
76
31
0
02 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
273
5,660
0
05 Dec 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
UQCV
BDL
285
9,136
0
06 Jun 2015
1