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How to Combine Variational Bayesian Networks in Federated Learning
v1v2 (latest)

How to Combine Variational Bayesian Networks in Federated Learning

22 June 2022
Atahan Ozer
Kadir Burak Buldu
Abdullah Akgul
Gözde B. Ünal
    FedML
ArXiv (abs)PDFHTML

Papers citing "How to Combine Variational Bayesian Networks in Federated Learning"

13 / 13 papers shown
Title
Federated Learning on Non-IID Data Silos: An Experimental Study
Federated Learning on Non-IID Data Silos: An Experimental Study
Yue Liu
Yiqun Diao
Quan Chen
Bingsheng He
FedMLOOD
151
981
0
03 Feb 2021
Federated Learning via Posterior Averaging: A New Perspective and
  Practical Algorithms
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Maruan Al-Shedivat
Jennifer Gillenwater
Eric Xing
Afshin Rostamizadeh
FedML
101
112
0
11 Oct 2020
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Hands-on Bayesian Neural Networks -- a Tutorial for Deep Learning Users
Laurent Valentin Jospin
Wray Buntine
F. Boussaïd
Hamid Laga
Bennamoun
OODBDLUQCV
84
628
0
14 Jul 2020
Bayesian Neural Networks: An Introduction and Survey
Bayesian Neural Networks: An Introduction and Survey
Ethan Goan
Clinton Fookes
BDLUQCV
62
205
0
22 Jun 2020
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
Agustinus Kristiadi
Matthias Hein
Philipp Hennig
BDLUQCV
86
287
0
24 Feb 2020
Can You Trust Your Model's Uncertainty? Evaluating Predictive
  Uncertainty Under Dataset Shift
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Yaniv Ovadia
Emily Fertig
Jie Jessie Ren
Zachary Nado
D. Sculley
Sebastian Nowozin
Joshua V. Dillon
Balaji Lakshminarayanan
Jasper Snoek
UQCV
170
1,695
0
06 Jun 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,904
0
25 Aug 2017
Deep Learning: A Bayesian Perspective
Deep Learning: A Bayesian Perspective
Nicholas G. Polson
Vadim Sokolov
BDL
82
117
0
01 Jun 2017
Variational Inference: A Review for Statisticians
Variational Inference: A Review for Statisticians
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
BDL
285
4,793
0
04 Jan 2016
Weight Uncertainty in Neural Networks
Weight Uncertainty in Neural Networks
Charles Blundell
Julien Cornebise
Koray Kavukcuoglu
Daan Wierstra
UQCVBDL
187
1,887
0
20 May 2015
On Markov chain Monte Carlo methods for tall data
On Markov chain Monte Carlo methods for tall data
Rémi Bardenet
Arnaud Doucet
Chris Holmes
71
279
0
11 May 2015
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
Stochastic Variational Inference
Stochastic Variational Inference
Matt Hoffman
David M. Blei
Chong-Jun Wang
John Paisley
BDL
259
2,625
0
29 Jun 2012
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