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On the Convergence of Stochastic Variational Inference in Bayesian
  Networks

On the Convergence of Stochastic Variational Inference in Bayesian Networks

16 July 2015
Ulrich Paquet
    BDL
ArXiv (abs)PDFHTML

Papers citing "On the Convergence of Stochastic Variational Inference in Bayesian Networks"

2 / 2 papers shown
Title
A Factorial Mixture Prior for Compositional Deep Generative Models
A Factorial Mixture Prior for Compositional Deep Generative Models
Ulrich Paquet
Sumedh Ghaisas
O. Tieleman
CoGe
32
1
0
18 Dec 2018
Faster Stochastic Variational Inference using Proximal-Gradient Methods
  with General Divergence Functions
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions
Mohammad Emtiyaz Khan
Reza Babanezhad
Wu Lin
Mark Schmidt
Masashi Sugiyama
102
51
0
31 Oct 2015
1