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Conditionally conjugate mean-field variational Bayes for logistic models
v1v2 (latest)

Conditionally conjugate mean-field variational Bayes for logistic models

19 November 2017
Daniele Durante
T. Rigon
ArXiv (abs)PDFHTML

Papers citing "Conditionally conjugate mean-field variational Bayes for logistic models"

19 / 19 papers shown
Title
Variational Bayesian Bow tie Neural Networks with Shrinkage
Alisa Sheinkman
Sara Wade
BDLUQCV
100
0
0
17 Nov 2024
Optimal lower bounds for logistic log-likelihoods
Optimal lower bounds for logistic log-likelihoods
Niccolò Anceschi
T. Rigon
Giacomo Zanella
Daniele Durante
61
1
0
14 Oct 2024
Skew-symmetric approximations of posterior distributions
Skew-symmetric approximations of posterior distributions
Francesco Pozza
Daniele Durante
Botond Szabó
77
2
0
21 Sep 2024
Gradient-free variational learning with conditional mixture networks
Gradient-free variational learning with conditional mixture networks
Conor Heins
Hao Wu
Dimitrije Marković
Alexander Tschantz
Jeff Beck
Christopher L. Buckley
BDL
88
3
0
29 Aug 2024
Decentralised Variational Inference Frameworks for Multi-object Tracking
  on Sensor Network
Decentralised Variational Inference Frameworks for Multi-object Tracking on Sensor Network
Qing Li
Runze Gan
S. Godsill
129
0
0
24 Aug 2024
Scalable expectation propagation for generalized linear models
Scalable expectation propagation for generalized linear models
Niccolò Anceschi
A. Fasano
Beatrice Franzolini
Giovanni Rebaudo
81
0
0
02 Jul 2024
Logistic Variational Bayes Revisited
Logistic Variational Bayes Revisited
M. Komodromos
Marina Evangelou
Sarah Filippi
BDL
50
0
0
02 Jun 2024
Hyperbolic Secant representation of the logistic function: Application
  to probabilistic Multiple Instance Learning for CT intracranial hemorrhage
  detection
Hyperbolic Secant representation of the logistic function: Application to probabilistic Multiple Instance Learning for CT intracranial hemorrhage detection
Francisco M. Castro-Macías
Pablo Morales-Álvarez
Yunan Wu
Rafael Molina
Aggelos K. Katsaggelos
28
2
0
21 Mar 2024
Fast Variational Inference for Bayesian Factor Analysis in Single and
  Multi-Study Settings
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings
Blake Hansen
Alejandra Avalos-Pacheco
Massimiliano Russo
Roberta De Vito
107
5
0
22 May 2023
Skewed Bernstein-von Mises theorem and skew-modal approximations
Skewed Bernstein-von Mises theorem and skew-modal approximations
Daniele Durante
Francesco Pozza
Botond Szabó
110
12
0
08 Jan 2023
Structured Optimal Variational Inference for Dynamic Latent Space Models
Structured Optimal Variational Inference for Dynamic Latent Space Models
Penghui Zhao
A. Bhattacharya
D. Pati
Bani Mallick
BDL
78
1
0
29 Sep 2022
Bayesian non-conjugate regression via variational message passing
Bayesian non-conjugate regression via variational message passing
C. Castiglione
M. Bernardi
44
0
0
19 Jun 2022
Easy Variational Inference for Categorical Models via an Independent
  Binary Approximation
Easy Variational Inference for Categorical Models via an Independent Binary Approximation
M. Wojnowicz
Shuchin Aeron
Eric L. Miller
M. C. Hughes
53
2
0
31 May 2022
Statistical optimality and stability of tangent transform algorithms in
  logit models
Statistical optimality and stability of tangent transform algorithms in logit models
I. Ghosh
A. Bhattacharya
D. Pati
37
3
0
25 Oct 2020
Fast Bayesian Estimation of Spatial Count Data Models
Fast Bayesian Estimation of Spatial Count Data Models
P. Bansal
Rico Krueger
D. Graham
84
8
0
07 Jul 2020
Stratified stochastic variational inference for high-dimensional network
  factor model
Stratified stochastic variational inference for high-dimensional network factor model
E. Aliverti
Massimiliano Russo
BDL
46
8
0
25 Jun 2020
Scalable and Accurate Variational Bayes for High-Dimensional Binary
  Regression Models
Scalable and Accurate Variational Bayes for High-Dimensional Binary Regression Models
A. Fasano
Daniele Durante
Giacomo Zanella
69
31
0
15 Nov 2019
A nested expectation-maximization algorithm for latent class models with
  covariates
A nested expectation-maximization algorithm for latent class models with covariates
Daniele Durante
A. Canale
T. Rigon
TPM
38
5
0
10 May 2017
Tractable Bayesian Density Regression via Logit Stick-Breaking Priors
Tractable Bayesian Density Regression via Logit Stick-Breaking Priors
T. Rigon
Daniele Durante
79
27
0
11 Jan 2017
1