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1802.00568
Cited By
An Instability in Variational Inference for Topic Models
2 February 2018
Behrooz Ghorbani
H. Javadi
Andrea Montanari
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Papers citing
"An Instability in Variational Inference for Topic Models"
23 / 23 papers shown
Mode Collapse of Mean-Field Variational Inference
Shunan Sheng
Bohan Wu
Alberto González-Sanz
170
0
0
20 Oct 2025
Provably Efficient Posterior Sampling for Sparse Linear Regression via Measure Decomposition
Andrea Montanari
Yuchen Wu
297
6
0
27 Jun 2024
On Naive Mean-Field Approximation for high-dimensional canonical GLMs
Soumendu Sundar Mukherjee
Jiaze Qiu
Subhabrata Sen
272
2
0
21 Jun 2024
U-Nets as Belief Propagation: Efficient Classification, Denoising, and Diffusion in Generative Hierarchical Models
Song Mei
3DV
AI4CE
DiffM
352
17
0
29 Apr 2024
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression
Jiaze Qiu
182
3
0
15 Oct 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression
Soumendu Sundar Mukherjee
Bodhisattva Sen
Subhabrata Sen
429
7
0
28 Sep 2023
Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
Song Mei
Yuchen Wu
DiffM
244
36
0
20 Sep 2023
On the Convergence of Coordinate Ascent Variational Inference
Annals of Statistics (Ann. Stat.), 2023
A. Bhattacharya
D. Pati
Yun Yang
265
19
0
01 Jun 2023
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
259
8
0
22 Jul 2022
The TAP free energy for high-dimensional linear regression
The Annals of Applied Probability (Ann. Appl. Probab.), 2022
Jia Qiu
Subhabrata Sen
203
11
0
14 Mar 2022
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization
Annals of Statistics (Ann. Stat.), 2021
Michael Celentano
Z. Fan
Song Mei
FedML
319
29
0
21 Jun 2021
Variational Inference in high-dimensional linear regression
Journal of machine learning research (JMLR), 2021
Soumendu Sundar Mukherjee
S. Sen
BDL
201
29
0
25 Apr 2021
Empirical Bayes PCA in high dimensions
Xinyi Zhong
Chang Su
Z. Fan
598
26
0
21 Dec 2020
Statistical optimality and stability of tangent transform algorithms in logit models
Journal of machine learning research (JMLR), 2020
I. Ghosh
A. Bhattacharya
D. Pati
313
4
0
25 Oct 2020
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray
Botond Szabó
Gabriel Clara
385
35
0
22 Oct 2020
Evidence bounds in singular models: probabilistic and variational perspectives
A. Bhattacharya
D. Pati
Sean Plummer
173
2
0
11 Aug 2020
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models
Entropy (Entropy), 2020
Sean Plummer
D. Pati
A. Bhattacharya
354
25
0
13 Jul 2020
Mini-batch Metropolis-Hastings MCMC with Reversible SGLD Proposal
Tung-Yu Wu
Y. X. R. Wang
W. Wong
361
16
0
08 Aug 2019
A Theoretical Case Study of Structured Variational Inference for Community Detection
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Mingzhang Yin
Y. X. R. Wang
Purnamrita Sarkar
331
8
0
29 Jul 2019
Variational Bayes under Model Misspecification
Neural Information Processing Systems (NeurIPS), 2019
Yixin Wang
David M. Blei
261
52
0
26 May 2019
When random initializations help: a study of variational inference for community detection
Journal of machine learning research (JMLR), 2019
Purnamrita Sarkar
Y. X. R. Wang
Soumendu Sundar Mukherjee
BDL
271
6
0
16 May 2019
TAP free energy, spin glasses, and variational inference
Z. Fan
Song Mei
Andrea Montanari
139
31
0
23 Aug 2018
Frequentist Consistency of Variational Bayes
Yixin Wang
David M. Blei
BDL
642
231
0
09 May 2017
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