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Challenges in Markov chain Monte Carlo for Bayesian neural networks

Challenges in Markov chain Monte Carlo for Bayesian neural networks

15 October 2019
Theodore Papamarkou
Jacob D. Hinkle
M. T. Young
D. Womble
    BDL
ArXivPDFHTML

Papers citing "Challenges in Markov chain Monte Carlo for Bayesian neural networks"

12 / 12 papers shown
Title
Bayesian Computation in Deep Learning
Bayesian Computation in Deep Learning
Wenlong Chen
Bolian Li
Ruqi Zhang
Yingzhen Li
BDL
75
0
0
25 Feb 2025
Predictive Modeling and Uncertainty Quantification of Fatigue Life in Metal Alloys using Machine Learning
Jiang Chang
Deekshith Basvoju
Aleksandar Vakanski
Indrajit Charit
Min Xian
AI4CE
34
0
0
28 Jan 2025
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
Daniel Paulin
P. Whalley
Neil K. Chada
B. Leimkuhler
BDL
49
4
0
14 Oct 2024
Neural Mixed Effects for Nonlinear Personalized Predictions
Neural Mixed Effects for Nonlinear Personalized Predictions
T. Wörtwein
Nicholas B. Allen
Lisa B. Sheeber
Randy P. Auerbach
J. Cohn
Louis-Philippe Morency
18
7
0
13 Jun 2023
Randomized prior wavelet neural operator for uncertainty quantification
Randomized prior wavelet neural operator for uncertainty quantification
Shailesh Garg
S. Chakraborty
UQCV
BDL
15
1
0
02 Feb 2023
An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State
  Variables from Flamelet Generated Manifolds
An Ensemble-Based Deep Framework for Estimating Thermo-Chemical State Variables from Flamelet Generated Manifolds
A. Salunkhe
G. Georgalis
A. Patra
V. Chandola
6
1
0
25 Nov 2022
Introduction and Exemplars of Uncertainty Decomposition
Introduction and Exemplars of Uncertainty Decomposition
Shuo Chen
UD
UQCV
PER
30
0
0
17 Nov 2022
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty
  Quantification and Optimization, a Battery Digital Twin, and Perspectives
A Comprehensive Review of Digital Twin -- Part 2: Roles of Uncertainty Quantification and Optimization, a Battery Digital Twin, and Perspectives
Adam Thelen
Xiaoge Zhang
Olga Fink
Yan Lu
Sayan Ghosh
B. Youn
Michael D. Todd
S. Mahadevan
Chao Hu
Zhen Hu
25
86
0
27 Aug 2022
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Uncertainty-Aware Mixed-Variable Machine Learning for Materials Design
Hengrui Zhang
WeiWayneChen
Akshay Iyer
D. Apley
Wei Chen
AI4CE
31
11
0
11 Jul 2022
No Free Lunch for Approximate MCMC
No Free Lunch for Approximate MCMC
J. Johndrow
Natesh S. Pillai
Aaron Smith
64
18
0
23 Oct 2020
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric
  Models
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models
M. Zhang
Sinead Williamson
Fernando Perez-Cruz
26
1
0
19 May 2017
A Kernel Test of Goodness of Fit
A Kernel Test of Goodness of Fit
Kacper P. Chwialkowski
Heiko Strathmann
A. Gretton
BDL
107
324
0
09 Feb 2016
1