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Efficient Uncertainty Quantification and Reduction for
  Over-Parameterized Neural Networks

Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks

9 June 2023
Ziyi Huang
H. Lam
Haofeng Zhang
    UQCV
ArXivPDFHTML

Papers citing "Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks"

5 / 5 papers shown
Title
A Cheap Bootstrap Method for Fast Inference
A Cheap Bootstrap Method for Fast Inference
H. Lam
26
11
0
31 Jan 2022
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer
  Neural Network
A Local Convergence Theory for Mildly Over-Parameterized Two-Layer Neural Network
Mo Zhou
Rong Ge
Chi Jin
74
44
0
04 Feb 2021
Scalable Uncertainty for Computer Vision with Functional Variational
  Inference
Scalable Uncertainty for Computer Vision with Functional Variational Inference
Eduardo D C Carvalho
R. Clark
Andrea Nicastro
Paul H. J. Kelly
BDL
UQCV
131
22
0
06 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
276
5,661
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
9,138
0
06 Jun 2015
1