v1v2v3v4v5v6v7v8v9 (latest)

Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,838 papers shown

Title
Conditional Matrix Flows for Gaussian Graphical Models M. Negri F. A. Torres Volker Roth 33 3 0 12 Jun 2023
A Neural Network Implementation for Free Energy Principle Jingwei Liu FedML 51 1 0 11 Jun 2023
Deep Demixing: Reconstructing the Evolution of Network Epidemics Boning Li Gojko Cutura A. Swami Santiago Segarra 56 0 0 11 Jun 2023
Additive Multi-Index Gaussian process modeling, with application to multi-physics surrogate modeling of the quark-gluon plasma Kevin Li Simon Mak J. Paquet S. Bass AI4CE 31 10 0 11 Jun 2023
Push: Concurrent Probabilistic Programming for Bayesian Deep Learning Daniel Huang Christian Camaño Jonathan Tsegaye Jonathan Austin Gale AI4CE 84 0 0 10 Jun 2023
Monte Carlo inference for semiparametric Bayesian regression Daniel R. Kowal Bo-Hong Wu 148 1 0 08 Jun 2023
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders Hien Dang Tho Tran T. Nguyen Nhat Ho CML DRL 93 5 0 08 Jun 2023
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling Tin Vlašić Tomislav Matulić D. Seršić MedIm 66 2 0 07 Jun 2023
Effective Neural Topic Modeling with Embedding Clustering Regularization Xiaobao Wu Xinshuai Dong Thong Nguyen Anh Tuan Luu BDL 138 44 0 07 Jun 2023
Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels Alexander Immer Tycho F. A. van der Ouderaa Mark van der Wilk Gunnar Rätsch Bernhard Schölkopf BDL 68 13 0 06 Jun 2023
Nonparametric Iterative Machine Teaching Chen Zhang Xiaofeng Cao Weiyang Liu Ivor Tsang James T. Kwok 101 8 0 05 Jun 2023
Bivariate Causal Discovery using Bayesian Model Selection Anish Dhir Samuel Power Mark van der Wilk CML 81 3 0 05 Jun 2023
Deep Active Learning with Structured Neural Depth Search Xiaoyun Zhang Xieyi Ping Jianwei Zhang 77 0 0 05 Jun 2023
Provable convergence guarantees for black-box variational inference Justin Domke Guillaume Garrigos Robert Mansel Gower 101 21 0 04 Jun 2023
Variational Gaussian Process Diffusion Processes Prakhar Verma Vincent Adam Arno Solin DiffM 139 6 0 03 Jun 2023
On the Convergence of Coordinate Ascent Variational Inference A. Bhattacharya D. Pati Yun Yang 82 13 0 01 Jun 2023
R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed Models Bao Anh Vu David Gunawan A. Zammit‐Mangion DRL 65 1 0 01 Jun 2023
Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guides Sharmila Karumuri Ilias Bilionis 69 3 0 31 May 2023
Bayesian inference and neural estimation of acoustic wave propagation Yongchao Huang Yuhang He Hong Ge 65 0 0 28 May 2023
Fair Clustering via Hierarchical Fair-Dirichlet Process Abhisek Chakraborty A. Bhattacharya D. Pati FaML 57 3 0 27 May 2023
Revisiting Structured Variational Autoencoders Yixiu Zhao Scott W. Linderman BDL DRL 59 9 0 25 May 2023
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification Nuojin Cheng Osman Asif Malik Subhayan De Stephen Becker Alireza Doostan 70 9 0 25 May 2023
Bayesian Reinforcement Learning for Automatic Voltage Control under Cyber-Induced Uncertainty A. Sahu K. Davis 73 0 0 25 May 2023
Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders Ali Siahkoohi Rudy Morel Randall Balestriero Erwan Allys G. Sainton Taichi Kawamura Maarten V. de Hoop 145 2 0 25 May 2023
Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms Tim Tsz-Kit Lau Han Liu Thomas Pock 101 4 0 25 May 2023
Minimizing $f$ -Divergences by Interpolating Velocity Fields Song Liu Jiahao Yu J. Simons Mingxuan Yi Mark Beaumont 115 5 0 24 May 2023
On the Convergence of Black-Box Variational Inference Kyurae Kim Jisu Oh Kaiwen Wu Yi-An Ma Jacob R. Gardner BDL 96 17 0 24 May 2023
Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood Nhat-Minh Nguyen Minh-Ngoc Tran Christopher C. Drovandi David J. Nott 47 1 0 24 May 2023
Amortized Variational Inference with Coverage Guarantees Yash Patel Declan McNamara J. Loper Jeffrey Regier Ambuj Tewari BDL 114 4 0 23 May 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent Tianle Liu Promit Ghosal Krishnakumar Balasubramanian Natesh S. Pillai 111 11 0 23 May 2023
Federated Variational Inference: Towards Improved Personalization and Generalization Elahe Vedadi Joshua V. Dillon Philip Mansfield K. Singhal Arash Afkanpour Warren Morningstar FedML BDL 86 3 0 23 May 2023
Fast Variational Inference for Bayesian Factor Analysis in Single and Multi-Study Settings Blake Hansen Alejandra Avalos-Pacheco Massimiliano Russo Roberta De Vito 120 5 0 22 May 2023
A Rational Model of Dimension-reduced Human Categorization Yifan Hong Chen Wang 27 0 0 22 May 2023
Massively Parallel Reweighted Wake-Sleep Thomas Heap Gavin Leech Laurence Aitchison BDL 71 2 0 18 May 2023
To smooth a cloud or to pin it down: Guarantees and Insights on Score Matching in Denoising Diffusion Models Francisco Vargas Teodora Reu A. Kerekes Michael M Bronstein DiffM 105 1 0 16 May 2023
Physics reliable frugal uncertainty analysis for full waveform inversion M. Izzatullah M. Ravasi T. Alkhalifah 47 3 0 13 May 2023
FedHB: Hierarchical Bayesian Federated Learning Minyoung Kim Timothy M. Hospedales FedML 73 6 0 08 May 2023
A Variational Perspective on Solving Inverse Problems with Diffusion Models Morteza Mardani Jiaming Song Jan Kautz Arash Vahdat DiffM 102 146 0 07 May 2023
Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Tutorial V. Nemani Luca Biggio Xun Huan Zhen Hu Olga Fink Anh Tran Yan Wang Xiaoge Zhang Chao Hu AI4CE 120 81 0 07 May 2023
Variational Nonlinear Kalman Filtering with Unknown Process Noise Covariance Hua Lan Jinjie Hu Zengfu Wang Q. Cheng 56 11 0 06 May 2023
Sparsifying Bayesian neural networks with latent binary variables and normalizing flows Lars Skaaret-Lund G. Storvik A. Hubin BDL UQCV 73 3 0 05 May 2023
Tensorizing flows: a tool for variational inference Y. Khoo M. Lindsey Renana Keydar DRL 70 4 0 03 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 65 6 0 02 May 2023
Variational Inference for Bayesian Neural Networks under Model and Parameter Uncertainty A. Hubin G. Storvik BDL UQCV 119 6 0 01 May 2023
Variational Bayes Made Easy Mohammad Emtiyaz Khan BDL 64 1 0 27 Apr 2023
Causal Semantic Communication for Digital Twins: A Generalizable Imitation Learning Approach Christo Kurisummoottil Thomas Walid Saad Yong Xiao 85 22 0 25 Apr 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging Berthy Feng Jamie Smith Michael Rubinstein Huiwen Chang Katherine Bouman William T. Freeman DiffM 176 98 0 23 Apr 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 86 4 0 21 Apr 2023
Multi-module based CVAE to predict HVCM faults in the SNS accelerator Yasir Alanazi M. Schram Kishansingh Rajput S. Goldenberg Lasitha Vidyaratne C. Pappas M. Radaideh Dawei Lu Pradeep Ramuhalli Sarah Cousineau 47 2 0 20 Apr 2023
Bayes Hilbert Spaces for Posterior Approximation George Wynne 97 1 0 18 Apr 2023