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Bayesian Deep Learning with Multilevel Trace-class Neural Networks

Bayesian Deep Learning with Multilevel Trace-class Neural Networks

24 March 2022
Neil K. Chada
Ajay Jasra
K. Law
Sumeetpal S. Singh
    BDL
    UQCV
ArXivPDFHTML

Papers citing "Bayesian Deep Learning with Multilevel Trace-class Neural Networks"

5 / 5 papers shown
Title
Multifidelity linear regression for scientific machine learning from
  scarce data
Multifidelity linear regression for scientific machine learning from scarce data
Elizabeth Qian
Dayoung Kang
Vignesh Sella
Anirban Chaudhuri
AI4CE
63
0
0
13 Mar 2024
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo
  is All you Need
Accelerating Look-ahead in Bayesian Optimization: Multilevel Monte Carlo is All you Need
Shangda Yang
Vitaly Zankin
Maximilian Balandat
Stefan Scherer
Kevin Carlberg
Neil S. Walton
Kody J. H. Law
50
0
0
03 Feb 2024
On the Parallel Complexity of Multilevel Monte Carlo in Stochastic
  Gradient Descent
On the Parallel Complexity of Multilevel Monte Carlo in Stochastic Gradient Descent
Kei Ishikawa
BDL
46
0
0
03 Oct 2023
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions
  with $ \ell^1 $ and $ \ell^0 $ Controls
Approximation by Combinations of ReLU and Squared ReLU Ridge Functions with ℓ1 \ell^1 ℓ1 and ℓ0 \ell^0 ℓ0 Controls
Jason M. Klusowski
Andrew R. Barron
108
142
0
26 Jul 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
243
9,042
0
06 Jun 2015
1