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Variational Inference: A Review for Statisticians
v1v2v3v4v5v6v7v8v9 (latest)

Variational Inference: A Review for Statisticians

4 January 2016
David M. Blei
A. Kucukelbir
Jon D. McAuliffe
    BDL
ArXiv (abs)PDFHTML

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,838 papers shown
Title
A Dirichlet Process Mixture Model of Discrete Choice
A Dirichlet Process Mixture Model of Discrete Choice
Rico Krueger
A. Vij
T. Rashidi
46
14
0
19 Jan 2018
Topic Modeling on Health Journals with Regularized Variational Inference
Topic Modeling on Health Journals with Regularized Variational Inference
Robert Giaquinto
A. Banerjee
63
6
0
15 Jan 2018
On Statistical Optimality of Variational Bayes
On Statistical Optimality of Variational Bayes
D. Pati
A. Bhattacharya
Yun Yang
66
64
0
25 Dec 2017
Model-Based Clustering of Nonparametric Weighted Networks with
  Application to Water Pollution Analysis
Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis
Amal Agarwal
Lingzhou Xue
72
15
0
21 Dec 2017
Deep Neural Generative Model of Functional MRI Images for Psychiatric
  Disorder Diagnosis
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis
Takashi Matsubara
T. Tashiro
K. Uehara
MedIm
58
43
0
18 Dec 2017
A Quantum Extension of Variational Bayes Inference
A Quantum Extension of Variational Bayes Inference
Hideyuki Miyahara
Yuki Sughiyama
38
9
0
13 Dec 2017
Convergence Rates of Variational Posterior Distributions
Convergence Rates of Variational Posterior Distributions
Fengshuo Zhang
Chao Gao
116
105
0
07 Dec 2017
Exchangeable modelling of relational data: checking sparsity, train-test
  splitting, and sparse exchangeable Poisson matrix factorization
Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization
Victor Veitch
Ekansh Sharma
Zacharie Naulet
Daniel M. Roy
37
1
0
06 Dec 2017
Variational Deep Q Network
Variational Deep Q Network
Yunhao Tang
A. Kucukelbir
BDL
95
10
0
30 Nov 2017
On the use of bootstrap with variational inference: Theory,
  interpretation, and a two-sample test example
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example
Yen-Chi Chen
Y Samuel Wang
E. Erosheva
BDL
69
19
0
29 Nov 2017
The Block Point Process Model for Continuous-Time Event-Based Dynamic
  Networks
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks
Ruthwik R. Junuthula
Maysam Haghdan
Kevin S. Xu
Vijay Devabhaktuni
147
31
0
29 Nov 2017
Conditionally conjugate mean-field variational Bayes for logistic models
Conditionally conjugate mean-field variational Bayes for logistic models
Daniele Durante
T. Rigon
65
37
0
19 Nov 2017
Advances in Variational Inference
Advances in Variational Inference
Cheng Zhang
Judith Butepage
Hedvig Kjellström
Stephan Mandt
BDL
236
698
0
15 Nov 2017
Bayesian Paragraph Vectors
Bayesian Paragraph Vectors
Geng Ji
Robert Bamler
Erik B. Sudderth
Stephan Mandt
BDL3DV
51
5
0
10 Nov 2017
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and
  Complements
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements
Francisco J. R. Ruiz
Susan Athey
David M. Blei
415
85
0
09 Nov 2017
Bayesian model and dimension reduction for uncertainty propagation:
  applications in random media
Bayesian model and dimension reduction for uncertainty propagation: applications in random media
Constantin Grigo
P. Koutsourelakis
92
31
0
07 Nov 2017
Estimation of Low-Rank Matrices via Approximate Message Passing
Estimation of Low-Rank Matrices via Approximate Message Passing
Andrea Montanari
R. Venkataramanan
104
88
0
06 Nov 2017
Approximating Partition Functions in Constant Time
Approximating Partition Functions in Constant Time
Vishesh Jain
Frederic Koehler
Elchanan Mossel
34
6
0
05 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled
  Observations
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations
Abhishek Kumar
P. Sattigeri
Avinash Balakrishnan
BDLDRL
120
523
0
02 Nov 2017
Deep Recurrent Gaussian Process with Variational Sparse Spectrum
  Approximation
Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation
Roman Föll
B. Haasdonk
Markus Hanselmann
Holger Ulmer
BDL
70
6
0
02 Nov 2017
Deep Learning from Noisy Image Labels with Quality Embedding
Deep Learning from Noisy Image Labels with Quality Embedding
Jiangchao Yao
Jiajie Wang
Ivor Tsang
Ya Zhang
Jun-wei Sun
Chengqi Zhang
Rui Zhang
NoLa
100
121
0
02 Nov 2017
Theoretical and Computational Guarantees of Mean Field Variational
  Inference for Community Detection
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection
A. Zhang
Harrison H. Zhou
290
67
0
30 Oct 2017
Reparameterizing the Birkhoff Polytope for Variational Permutation
  Inference
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference
Scott W. Linderman
Gonzalo E. Mena
H. Cooper
Liam Paninski
John P. Cunningham
77
51
0
26 Oct 2017
Sequential Matrix Completion
Sequential Matrix Completion
A. Marsden
S. Bacallado
104
2
0
23 Oct 2017
What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine
  For Contextualized Scene Modeling
What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling
Ilker Bozcan
Y. Oymak
Idil Zeynep Alemdar
Sinan Kalkan
BDL
54
7
0
16 Oct 2017
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks
Yin Cheng Ng
Ricardo M. A. Silva
153
6
0
11 Oct 2017
$α$-Variational Inference with Statistical Guarantees
ααα-Variational Inference with Statistical Guarantees
Yun Yang
D. Pati
A. Bhattacharya
61
25
0
09 Oct 2017
Improving approximate Bayesian computation via quasi-Monte Carlo
Improving approximate Bayesian computation via quasi-Monte Carlo
Alexander K. Buchholz
Nicolas Chopin
80
26
0
03 Oct 2017
varbvs: Fast Variable Selection for Large-scale Regression
varbvs: Fast Variable Selection for Large-scale Regression
P. Carbonetto
Xiaoping Zhou
M. Stephens
BDL
42
16
0
19 Sep 2017
On Nesting Monte Carlo Estimators
On Nesting Monte Carlo Estimators
Tom Rainforth
R. Cornish
Hongseok Yang
Andrew Warrington
Frank Wood
159
132
0
18 Sep 2017
Variational Gaussian Approximation for Poisson Data
Variational Gaussian Approximation for Poisson Data
Simon Arridge
Kazufumi Ito
Bangti Jin
Chen Zhang
36
22
0
18 Sep 2017
RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty
  Estimations
RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations
Shuochao Yao
Yiran Zhao
Huajie Shao
Aston Zhang
Chao Zhang
Shen Li
Tarek Abdelzaher
UQCVHAI
91
37
0
09 Sep 2017
A deep generative model for gene expression profiles from single-cell
  RNA sequencing
A deep generative model for gene expression profiles from single-cell RNA sequencing
Romain Lopez
Jeffrey Regier
Michael Cole
Michael I. Jordan
N. Yosef
BDL
167
7
0
07 Sep 2017
Symmetric Variational Autoencoder and Connections to Adversarial
  Learning
Symmetric Variational Autoencoder and Connections to Adversarial Learning
Liqun Chen
Shuyang Dai
Yunchen Pu
Chunyuan Li
Weiyao Wang
Lawrence Carin
DRLGAN
116
71
0
06 Sep 2017
Pseudo-extended Markov chain Monte Carlo
Pseudo-extended Markov chain Monte Carlo
Christopher Nemeth
Fredrik Lindsten
Maurizio Filippone
J. Hensman
83
10
0
17 Aug 2017
Boosting Variational Inference: an Optimization Perspective
Boosting Variational Inference: an Optimization Perspective
Francesco Locatello
Rajiv Khanna
Joydeep Ghosh
Gunnar Rätsch
64
36
0
05 Aug 2017
Hamiltonian Monte Carlo with Energy Conserving Subsampling
Hamiltonian Monte Carlo with Energy Conserving Subsampling
Khue-Dung Dang
M. Quiroz
Robert Kohn
Minh-Ngoc Tran
M. Villani
120
62
0
02 Aug 2017
Cooperative Hierarchical Dirichlet Processes: Superposition vs.
  Maximization
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization
Junyu Xuan
Jie Lu
Guangquan Zhang
R. Xu
61
4
0
18 Jul 2017
Concentration of tempered posteriors and of their variational
  approximations
Concentration of tempered posteriors and of their variational approximations
Pierre Alquier
James Ridgway
132
127
0
28 Jun 2017
A Contemporary Overview of Probabilistic Latent Variable Models
A Contemporary Overview of Probabilistic Latent Variable Models
Rick Farouni
18
1
0
25 Jun 2017
Fast Black-box Variational Inference through Stochastic Trust-Region
  Optimization
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
Jeffrey Regier
Michael I. Jordan
Jon D. McAuliffe
68
29
0
07 Jun 2017
Identification of Gaussian Process State Space Models
Identification of Gaussian Process State Space Models
Stefanos Eleftheriadis
Tom Nicholson
M. Deisenroth
J. Hensman
94
113
0
30 May 2017
Filtering Variational Objectives
Filtering Variational Objectives
Chris J. Maddison
Dieterich Lawson
George Tucker
N. Heess
Mohammad Norouzi
A. Mnih
Arnaud Doucet
Yee Whye Teh
FedML
262
210
0
25 May 2017
Generative Model with Coordinate Metric Learning for Object Recognition
  Based on 3D Models
Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models
Yida Wang
Weihong Deng
3DPC
23
6
0
24 May 2017
Reducing Reparameterization Gradient Variance
Reducing Reparameterization Gradient Variance
Andrew C. Miller
N. Foti
Alexander DÁmour
Ryan P. Adams
70
84
0
22 May 2017
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic
  Music
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music
Pablo A. Alvarado
D. Stowell
40
7
0
19 May 2017
VAE with a VampPrior
VAE with a VampPrior
Jakub M. Tomczak
Max Welling
GANBDL
139
638
0
19 May 2017
Beyond similarity assessment: Selecting the optimal model for sequence
  alignment via the Factorized Asymptotic Bayesian algorithm
Beyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm
Taikai Takeda
Michiaki Hamada
19
1
0
19 May 2017
Frequentist Consistency of Variational Bayes
Frequentist Consistency of Variational Bayes
Yixin Wang
David M. Blei
BDL
155
208
0
09 May 2017
Importance Sampled Stochastic Optimization for Variational Inference
Importance Sampled Stochastic Optimization for Variational Inference
J. Sakaya
Arto Klami
BDL
50
7
0
19 Apr 2017
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