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Variational Tempering

Variational Tempering

7 November 2014
Stephan Mandt
James McInerney
Farhan Abrol
Rajesh Ranganath
David M. Blei
    BDL
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Papers citing "Variational Tempering"

12 / 12 papers shown
Title
R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear
  Mixed Models
R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed Models
Bao Anh Vu
David Gunawan
A. Zammit‐Mangion
DRL
12
1
0
01 Jun 2023
Projective Integral Updates for High-Dimensional Variational Inference
Projective Integral Updates for High-Dimensional Variational Inference
J. Duersch
35
1
0
20 Jan 2023
A Joint Learning Approach for Semi-supervised Neural Topic Modeling
A Joint Learning Approach for Semi-supervised Neural Topic Modeling
Jeffrey C. Chiu
Rajat Mittal
Neehal Tumma
Abhishek Sharma
Finale Doshi-Velez
BDL
DRL
23
4
0
07 Apr 2022
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal
  Posterior Distributions Evaluation
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation
F. Igea
Alice Cicirello
24
8
0
23 Feb 2022
Self-Paced Deep Reinforcement Learning
Self-Paced Deep Reinforcement Learning
Pascal Klink
Carlo DÉramo
Jan Peters
Joni Pajarinen
ODL
38
54
0
24 Apr 2020
The Variational InfoMax Learning Objective
The Variational InfoMax Learning Objective
Vincenzo Crescimanna
Bruce P. Graham
16
0
0
07 Mar 2020
Exact Rate-Distortion in Autoencoders via Echo Noise
Exact Rate-Distortion in Autoencoders via Echo Noise
Rob Brekelmans
Daniel Moyer
Aram Galstyan
Greg Ver Steeg
24
17
0
15 Apr 2019
Deep Generative Video Compression
Deep Generative Video Compression
Jun Han
Salvator Lombardo
Christopher Schroers
Stephan Mandt
VGen
32
58
0
05 Oct 2018
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
38
684
0
15 Nov 2017
A unified framework for hard and soft clustering with regularized
  optimal transport
A unified framework for hard and soft clustering with regularized optimal transport
Jean-Frédéric Diebold
Nicolas Papadakis
Arnaud Dessein
Charles-Alban Deledalle
FedML
47
9
0
12 Nov 2017
Determinantal Point Processes for Mini-Batch Diversification
Determinantal Point Processes for Mini-Batch Diversification
Cheng Zhang
Hedvig Kjellström
Stephan Mandt
19
35
0
01 May 2017
Learning of state-space models with highly informative observations: a
  tempered Sequential Monte Carlo solution
Learning of state-space models with highly informative observations: a tempered Sequential Monte Carlo solution
Andreas Svensson
Thomas B. Schon
Fredrik Lindsten
22
17
0
06 Feb 2017
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