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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
Learning Active Subspaces for Effective and Scalable Uncertainty
  Quantification in Deep Neural Networks
Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks
Sanket Jantre
Nathan M. Urban
Xiaoning Qian
Byung-Jun Yoon
BDLUQCV
81
5
0
06 Sep 2023
Amortised Inference in Bayesian Neural Networks
Amortised Inference in Bayesian Neural Networks
Tommy Rochussen
UQCVBDL
76
0
0
06 Sep 2023
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic
  Segmenter
Diffusion Model is Secretly a Training-free Open Vocabulary Semantic Segmenter
Jinglong Wang
Xiawei Li
Jing Zhang
Qingyuan Xu
Qin Zhou
Qian Yu
Lu Sheng
Dong Xu
VLMDiffM
119
48
0
06 Sep 2023
Cognition-Mode Aware Variational Representation Learning Framework for
  Knowledge Tracing
Cognition-Mode Aware Variational Representation Learning Framework for Knowledge Tracing
Moyu Zhang
Xinning Zhu
Chun-Xiao Zhang
Feng Pan
Wenchen Qian
Hui Zhao
61
1
0
03 Sep 2023
Learning multi-modal generative models with permutation-invariant
  encoders and tighter variational bounds
Learning multi-modal generative models with permutation-invariant encoders and tighter variational bounds
Marcel Hirt
Domenico Campolo
Victoria Leong
Juan-Pablo Ortega
DRL
98
0
0
01 Sep 2023
Unsupervised Text Style Transfer with Deep Generative Models
Unsupervised Text Style Transfer with Deep Generative Models
Zhongtao Jiang
Yuanzhe Zhang
Yiming Ju
Kang Liu
86
0
0
31 Aug 2023
Mixed Variational Flows for Discrete Variables
Mixed Variational Flows for Discrete Variables
Gian Carlo Diluvi
Benjamin Bloem-Reddy
Trevor Campbell
88
2
0
29 Aug 2023
Heterogeneous Multi-Task Gaussian Cox Processes
Heterogeneous Multi-Task Gaussian Cox Processes
Feng Zhou
Quyu Kong
Zhijie Deng
Fengxiang He
Peng Cui
Jun Zhu
97
2
0
29 Aug 2023
NAS-X: Neural Adaptive Smoothing via Twisting
NAS-X: Neural Adaptive Smoothing via Twisting
Dieterich Lawson
Michael Y. Li
Scott W. Linderman
57
1
0
28 Aug 2023
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational
  Inference Approach
Channel Estimation in RIS-Enabled mmWave Wireless Systems: A Variational Inference Approach
Firas Fredj
Amal Feriani
A. Mezghani
Ekram Hossain
36
2
0
25 Aug 2023
Constrained Stein Variational Trajectory Optimization
Constrained Stein Variational Trajectory Optimization
Thomas Power
Dmitry Berenson
84
13
0
23 Aug 2023
Deep Generative Modeling-based Data Augmentation with Demonstration
  using the BFBT Benchmark Void Fraction Datasets
Deep Generative Modeling-based Data Augmentation with Demonstration using the BFBT Benchmark Void Fraction Datasets
Farah Alsafadi
Xuehui Wu
85
3
0
19 Aug 2023
Modeling Random Networks with Heterogeneous Reciprocity
Modeling Random Networks with Heterogeneous Reciprocity
Daniel Cirkovic
Tiandong Wang
64
3
0
19 Aug 2023
Semi-Implicit Variational Inference via Score Matching
Semi-Implicit Variational Inference via Score Matching
Longlin Yu
Chuxu Zhang
92
17
0
19 Aug 2023
Robust Bayesian Tensor Factorization with Zero-Inflated Poisson Model
  and Consensus Aggregation
Robust Bayesian Tensor Factorization with Zero-Inflated Poisson Model and Consensus Aggregation
Daniel Chafamo
Vignesh Shanmugam
Neriman Tokcan
33
1
0
15 Aug 2023
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ
  Segmentation
Benchmarking Scalable Epistemic Uncertainty Quantification in Organ Segmentation
Jadie Adams
Shireen Y. Elhabian
UQCV
74
6
0
15 Aug 2023
Comparing the quality of neural network uncertainty estimates for
  classification problems
Comparing the quality of neural network uncertainty estimates for classification problems
Daniel Ries
Joshua J. Michalenko
T. Ganter
R. Baiyasi
Jason Adams
UQCVBDL
66
1
0
11 Aug 2023
Target Detection on Hyperspectral Images Using MCMC and VI Trained
  Bayesian Neural Networks
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks
Daniel Ries
Jason Adams
J. Zollweg
BDL
69
1
0
11 Aug 2023
Path Signatures for Diversity in Probabilistic Trajectory Optimisation
Path Signatures for Diversity in Probabilistic Trajectory Optimisation
Lucas Barcelos
Tin Lai
Rafael Oliveira
Paulo Borges
Fabio Ramos
169
7
0
08 Aug 2023
Interpretable Machine Learning for Discovery: Statistical Challenges \&
  Opportunities
Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities
Genevera I. Allen
Luqin Gan
Lili Zheng
89
9
0
02 Aug 2023
Adaptive MCMC for Bayesian variable selection in generalised linear
  models and survival models
Adaptive MCMC for Bayesian variable selection in generalised linear models and survival models
Xitong Liang
Samuel Livingstone
Jim Griffin
88
6
0
01 Aug 2023
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body
  Reconstruction
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction
Yufei Zhang
Hanjing Wang
Jeffrey O. Kephart
Q. Ji
3DH
86
9
0
01 Aug 2023
Deep Generative Models, Synthetic Tabular Data, and Differential
  Privacy: An Overview and Synthesis
Deep Generative Models, Synthetic Tabular Data, and Differential Privacy: An Overview and Synthesis
Conor Hassan
Roberto Salomone
Kerrie Mengersen
81
6
0
28 Jul 2023
Linear Convergence of Black-Box Variational Inference: Should We Stick
  the Landing?
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing?
Kyurae Kim
Yian Ma
Jacob R. Gardner
117
7
0
27 Jul 2023
When Multi-Task Learning Meets Partial Supervision: A Computer Vision
  Review
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review
Maxime Fontana
Michael W. Spratling
Miaojing Shi
87
7
0
25 Jul 2023
Amortized Variational Inference: When and Why?
Amortized Variational Inference: When and Why?
C. Margossian
David M. Blei
154
13
0
20 Jul 2023
VITS : Variational Inference Thompson Sampling for contextual bandits
VITS : Variational Inference Thompson Sampling for contextual bandits
Pierre Clavier
Tom Huix
Alain Durmus
94
3
0
19 Jul 2023
Characterization of partial wetting by CMAS droplets using multiphase
  many-body dissipative particle dynamics and data-driven discovery based on
  PINNs
Characterization of partial wetting by CMAS droplets using multiphase many-body dissipative particle dynamics and data-driven discovery based on PINNs
Elham Kiyani
M. Kooshkbaghi
K. Shukla
R. Koneru
Zhen Li
L. Bravo
A. Ghoshal
George Karniadakis
M. Karttunen
AI4CE
64
4
0
18 Jul 2023
Bayesian inference for data-efficient, explainable, and safe robotic
  motion planning: A review
Bayesian inference for data-efficient, explainable, and safe robotic motion planning: A review
Chengmin Zhou
Chao Wang
Haseeb Hassan
H. Shah
Bingding Huang
Pasi Fränti
3DV
103
3
0
16 Jul 2023
Variational Inference with Gaussian Score Matching
Variational Inference with Gaussian Score Matching
Chirag Modi
C. Margossian
Yuling Yao
Robert Mansel Gower
David M. Blei
Lawrence K. Saul
83
13
0
15 Jul 2023
Robust scalable initialization for Bayesian variational inference with
  multi-modal Laplace approximations
Robust scalable initialization for Bayesian variational inference with multi-modal Laplace approximations
Wyatt Bridgman
Reese E. Jones
Mohammad Khalil
71
1
0
12 Jul 2023
A Bayesian approach to quantifying uncertainties and improving
  generalizability in traffic prediction models
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models
Agnimitra Sengupta
Sudeepta Mondal
A. Das
S. I. Guler
BDLUQCV
58
13
0
12 Jul 2023
Monotone deep Boltzmann machines
Monotone deep Boltzmann machines
Zhili Feng
Ezra Winston
J. Zico Kolter
74
1
0
11 Jul 2023
Functional PCA and Deep Neural Networks-based Bayesian Inverse
  Uncertainty Quantification with Transient Experimental Data
Functional PCA and Deep Neural Networks-based Bayesian Inverse Uncertainty Quantification with Transient Experimental Data
Ziyue Xie
M. Yaseen
Xuechun Wu
47
7
0
10 Jul 2023
Law of Large Numbers for Bayesian two-layer Neural Network trained with
  Variational Inference
Law of Large Numbers for Bayesian two-layer Neural Network trained with Variational Inference
Arnaud Descours
Tom Huix
Arnaud Guillin
Manon Michel
Eric Moulines
Boris Nectoux
BDL
66
1
0
10 Jul 2023
Learning Space-Time Continuous Neural PDEs from Partially Observed
  States
Learning Space-Time Continuous Neural PDEs from Partially Observed States
V. Iakovlev
Markus Heinonen
Harri Lähdesmäki
77
1
0
09 Jul 2023
A generative flow for conditional sampling via optimal transport
A generative flow for conditional sampling via optimal transport
Jason Alfonso
Ricardo Baptista
Anupam Bhakta
Noam Gal
Alfin Hou
I. Lyubimova
Daniel Pocklington
Josef Sajonz
G. Trigila
Ryan Tsai
OT
60
5
0
09 Jul 2023
A probabilistic, data-driven closure model for RANS simulations with
  aleatoric, model uncertainty
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty
A. Agrawal
P. Koutsourelakis
AI4CE
46
17
0
05 Jul 2023
Learning Mixtures of Gaussians Using the DDPM Objective
Learning Mixtures of Gaussians Using the DDPM Objective
Kulin Shah
Sitan Chen
Adam R. Klivans
DiffM
100
42
0
03 Jul 2023
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
Transport meets Variational Inference: Controlled Monte Carlo Diffusions
Francisco Vargas
Shreyas Padhy
Denis Blessing
Nikolas Nusken
DiffMOT
181
8
0
03 Jul 2023
On efficient computation in active inference
On efficient computation in active inference
Aswin Paul
Noor Sajid
Lancelot Da Costa
Adeel Razi
75
8
0
02 Jul 2023
Towards Zero-Shot Scale-Aware Monocular Depth Estimation
Towards Zero-Shot Scale-Aware Monocular Depth Estimation
Vitor Campagnolo Guizilini
Igor Vasiljevic
Di Chen
Rares Andrei Ambrus
Adrien Gaidon
MDE
114
81
0
29 Jun 2023
Recent Advances in Optimal Transport for Machine Learning
Recent Advances in Optimal Transport for Machine Learning
Eduardo Fernandes Montesuma
Fred-Maurice Ngole-Mboula
Antoine Souloumiac
OODOT
105
39
0
28 Jun 2023
An analytical model of active inference in the Iterated Prisoner's
  Dilemma
An analytical model of active inference in the Iterated Prisoner's Dilemma
Daphne Demekas
Conor Heins
Brennan Klein
63
1
0
27 Jun 2023
Long-Term Hourly Scenario Generation for Correlated Wind and Solar Power
  combining Variational Autoencoders with Radial Basis Function Kernels
Long-Term Hourly Scenario Generation for Correlated Wind and Solar Power combining Variational Autoencoders with Radial Basis Function Kernels
Julio A. S. Dias
20
1
0
27 Jun 2023
Exploiting Inferential Structure in Neural Processes
Exploiting Inferential Structure in Neural Processes
Dharmesh Tailor
Mohammad Emtiyaz Khan
Eric Nalisnick
BDL
89
1
0
27 Jun 2023
Evaluation of machine learning architectures on the quantification of
  epistemic and aleatoric uncertainties in complex dynamical systems
Evaluation of machine learning architectures on the quantification of epistemic and aleatoric uncertainties in complex dynamical systems
Stephen Guth
A. Mojahed
T. Sapsis
AI4CE
69
2
0
27 Jun 2023
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Joint Prompt Optimization of Stacked LLMs using Variational Inference
Alessandro Sordoni
Xingdi Yuan
Marc-Alexandre Côté
Matheus Pereira
Adam Trischler
Ziang Xiao
Arian Hosseini
Friederike Niedtner
Nicolas Le Roux
93
32
0
21 Jun 2023
Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space
  Models
Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models
Benjamin Cox
Victor Elvira
73
10
0
20 Jun 2023
Enhanced Sampling with Machine Learning: A Review
Enhanced Sampling with Machine Learning: A Review
S. Mehdi
Zachary Smith
Lukas Herron
Ziyue Zou
P. Tiwary
AI4CE
55
8
0
15 Jun 2023
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