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On the Performance of Direct Loss Minimization for Bayesian Neural
  Networks

On the Performance of Direct Loss Minimization for Bayesian Neural Networks

15 November 2022
Yadi Wei
Roni Khardon
    BDL
ArXiv (abs)PDFHTML

Papers citing "On the Performance of Direct Loss Minimization for Bayesian Neural Networks"

5 / 5 papers shown
Title
PAC$^m$-Bayes: Narrowing the Empirical Risk Gap in the Misspecified
  Bayesian Regime
PACm^mm-Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime
Warren Morningstar
Alexander A. Alemi
Joshua V. Dillon
119
16
0
19 Oct 2020
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors
Michael W. Dusenberry
Ghassen Jerfel
Yeming Wen
Yi-An Ma
Jasper Snoek
Katherine A. Heller
Balaji Lakshminarayanan
Dustin Tran
UQCVBDL
62
215
0
14 May 2020
Direct loss minimization algorithms for sparse Gaussian processes
Direct loss minimization algorithms for sparse Gaussian processes
Yadi Wei
Rishit Sheth
Roni Khardon
47
14
0
07 Apr 2020
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs
T. Garipov
Pavel Izmailov
Dmitrii Podoprikhin
Dmitry Vetrov
A. Wilson
UQCV
83
755
0
27 Feb 2018
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,192
0
16 Mar 2016
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