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An Instability in Variational Inference for Topic Models

An Instability in Variational Inference for Topic Models

2 February 2018
Behrooz Ghorbani
H. Javadi
Andrea Montanari
ArXiv (abs)PDFHTML

Papers citing "An Instability in Variational Inference for Topic Models"

22 / 22 papers shown
Title
Provably Efficient Posterior Sampling for Sparse Linear Regression via
  Measure Decomposition
Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
Andrea Montanari
Yuchen Wu
122
4
0
27 Jun 2024
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
Soumendu Sundar Mukherjee
Jiaze Qiu
Subhabrata Sen
85
1
0
21 Jun 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and
  Diffusion in Generative Hierarchical Models
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
Song Mei
3DVAI4CEDiffM
168
13
0
29 Apr 2024
Sub-optimality of the Naive Mean Field approximation for proportional
  high-dimensional Linear Regression
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
Jiaze Qiu
73
3
0
15 Oct 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional
  Linear Regression
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression
Soumendu Sundar Mukherjee
Bodhisattva Sen
Subhabrata Sen
123
6
0
28 Sep 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of
  Diffusion Models in High-Dimensional Graphical Models
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
Song Mei
Yuchen Wu
DiffM
116
28
0
20 Sep 2023
On the Convergence of Coordinate Ascent Variational Inference
On the Convergence of Coordinate Ascent Variational Inference
A. Bhattacharya
D. Pati
Yun Yang
96
13
0
01 Jun 2023
Statistical and Computational Trade-offs in Variational Inference: A
  Case Study in Inferential Model Selection
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection
Kush S. Bhatia
Nikki Lijing Kuang
Yi-An Ma
Yixin Wang
108
7
0
22 Jul 2022
The TAP free energy for high-dimensional linear regression
The TAP free energy for high-dimensional linear regression
Jia Qiu
Subhabrata Sen
72
9
0
14 Mar 2022
Local convexity of the TAP free energy and AMP convergence for
  Z2-synchronization
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
Michael Celentano
Z. Fan
Song Mei
FedML
143
26
0
21 Jun 2021
Variational Inference in high-dimensional linear regression
Variational Inference in high-dimensional linear regression
Soumendu Sundar Mukherjee
S. Sen
BDL
89
26
0
25 Apr 2021
Empirical Bayes PCA in high dimensions
Empirical Bayes PCA in high dimensions
Xinyi Zhong
Chang Su
Z. Fan
187
19
0
21 Dec 2020
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
85
3
0
25 Oct 2020
Spike and slab variational Bayes for high dimensional logistic
  regression
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray
Botond Szabó
Gabriel Clara
155
31
0
22 Oct 2020
Evidence bounds in singular models: probabilistic and variational
  perspectives
Evidence bounds in singular models: probabilistic and variational perspectives
A. Bhattacharya
D. Pati
Sean Plummer
38
2
0
11 Aug 2020
Dynamics of coordinate ascent variational inference: A case study in 2D
  Ising models
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models
Sean Plummer
D. Pati
A. Bhattacharya
128
22
0
13 Jul 2020
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal
Tung-Yu Wu
Y. X. R. Wang
W. Wong
123
13
0
08 Aug 2019
A Theoretical Case Study of Structured Variational Inference for
  Community Detection
A Theoretical Case Study of Structured Variational Inference for Community Detection
Mingzhang Yin
Y. X. R. Wang
Purnamrita Sarkar
183
8
0
29 Jul 2019
Variational Bayes under Model Misspecification
Variational Bayes under Model Misspecification
Yixin Wang
David M. Blei
144
46
0
26 May 2019
When random initializations help: a study of variational inference for
  community detection
When random initializations help: a study of variational inference for community detection
Purnamrita Sarkar
Y. X. R. Wang
Soumendu Sundar Mukherjee
BDL
119
6
0
16 May 2019
TAP free energy, spin glasses, and variational inference
TAP free energy, spin glasses, and variational inference
Z. Fan
Song Mei
Andrea Montanari
58
29
0
23 Aug 2018
Frequentist Consistency of Variational Bayes
Frequentist Consistency of Variational Bayes
Yixin Wang
David M. Blei
BDL
311
217
0
09 May 2017
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