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Variational Inference for Sparse and Undirected Models

Variational Inference for Sparse and Undirected Models

11 February 2016
John Ingraham
D. Marks
ArXivPDFHTML

Papers citing "Variational Inference for Sparse and Undirected Models"

6 / 6 papers shown
Title
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in
  Intensive Care
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care
H. Overweg
Anna-Lena Popkes
A. Ercole
Yingzhen Li
José Miguel Hernández-Lobato
Yordan Zaykov
Cheng Zhang
33
24
0
07 May 2019
Structured Variational Learning of Bayesian Neural Networks with
  Horseshoe Priors
Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors
S. Ghosh
Jiayu Yao
Finale Doshi-Velez
BDL
UQCV
15
77
0
13 Jun 2018
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCV
BDL
23
479
0
24 May 2017
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
9,145
0
06 Jun 2015
Bayesian Structure Learning for Markov Random Fields with a Spike and
  Slab Prior
Bayesian Structure Learning for Markov Random Fields with a Spike and Slab Prior
Yutian Chen
Max Welling
38
11
0
09 Aug 2014
Variational Inference for Generalized Linear Mixed Models Using
  Partially Noncentered Parametrizations
Variational Inference for Generalized Linear Mixed Models Using Partially Noncentered Parametrizations
Linda S. L. Tan
David J. Nott
45
49
0
17 May 2012
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