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Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

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Title
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs Beren Millidge Alexander Tschantz Christopher L. Buckley 125 124 0 07 Jun 2020
Deep active inference agents using Monte-Carlo methods Zafeirios Fountas Noor Sajid P. Mediano Karl J. Friston 122 106 0 07 Jun 2020
Skill Discovery of Coordination in Multi-agent Reinforcement Learning Shuncheng He Jianzhun Shao Xiangyang Ji 55 7 0 07 Jun 2020
Bayesian Neural Network via Stochastic Gradient Descent Abhinav Sagar UQCV BDL 58 2 0 04 Jun 2020
Quadruply Stochastic Gaussian Processes Trefor W. Evans P. Nair GP 48 3 0 04 Jun 2020
The role of exchangeability in causal inference O. Saarela D. Stephens E. Moodie 126 7 0 02 Jun 2020
A probabilistic generative model for semi-supervised training of coarse-grained surrogates and enforcing physical constraints through virtual observables Maximilian Rixner P. Koutsourelakis AI4CE 88 22 0 02 Jun 2020
Variational Inference and Learning of Piecewise-linear Dynamical Systems Xavier Alameda-Pineda Vincent Drouard Radu Horaud 70 12 0 02 Jun 2020
From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models Aytunc Sahin Yatao Bian J. M. Buhmann Andreas Krause 51 6 0 01 Jun 2020
Bayesian Sparse Factor Analysis with Kernelized Observations C. Sevilla-Salcedo Alejandro Guerrero-López Pablo Martínez Olmos Vanessa Gómez-Verdejo 59 7 0 01 Jun 2020
Synergetic Learning Systems: Concept, Architecture, and Algorithms Ping Guo Qian Yin 27 14 0 31 May 2020
Clustering-informed Cinematic Astrophysical Data Visualization with Application to the Moon-forming Terrestrial Synestia P. D. Aleo S. Lock D. Cox Stuart Levy J. Naiman A. Christensen Kalina Borkiewicz Robert Patterson 17 4 0 29 May 2020
$Bayesian model selection in the $\mathcal{M}$-open setting -- Approximate posterior inference and probability-proportional-to-size subsampling for efficient large-scale leave-one-out cross-validation$ Bayesian model selection in the $\mathcal{M}$ -open setting -- Approximate posterior inference and probability-proportional-to-size subsampling for efficient large-scale leave-one-out cross-validation Riko Kelter 65 0 0 27 May 2020
Semi-supervised source localization with deep generative modeling Michael J. Bianco Sharon Gannot Peter Gerstoft DRL 68 21 0 27 May 2020
Time-Variant Variational Transfer for Value Functions Giuseppe Canonaco Andrea Soprani M. Roveri Marcello Restelli OOD 76 0 0 26 May 2020
Bayesian Neural Networks at Scale: A Performance Analysis and Pruning Study Himanshu Sharma Elise Jennings BDL 75 4 0 23 May 2020
Bayesian workflow for disease transmission modeling in Stan Léo Grinsztajn Elizaveta Semenova C. Margossian J. Riou 59 62 0 23 May 2020
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties J. Lindinger David Reeb C. Lippert Barbara Rakitsch BDL UQCV 74 8 0 22 May 2020
Infinite-dimensional gradient-based descent for alpha-divergence minimisation Kamélia Daudel Randal Douc Franccois Portier 89 18 0 20 May 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 85 7 0 20 May 2020
Variational Inference as Iterative Projection in a Bayesian Hilbert Space with Application to Robotic State Estimation Timothy D. Barfoot G. D’Eleuterio BDL 44 2 0 14 May 2020
The JuliaConnectoR: a functionally oriented interface for integrating Julia in R S. Lenz Maren Hackenberg Harald Binder 33 8 0 13 May 2020
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space Nikolas Nusken Lorenz Richter AI4CE 95 112 0 11 May 2020
Text-Based Ideal Points Keyon Vafa S. Naidu David M. Blei 37 36 0 08 May 2020
Learning on dynamic statistical manifolds F. Boso D. Tartakovsky 65 10 0 07 May 2020
A Bayesian approach for clustering skewed data using mixtures of multivariate normal-inverse Gaussian distributions Yuan Fang D. Karlis Sanjeena Subedi 37 2 0 06 May 2020
A Novel Perspective to Zero-shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion Jingcai Guo Song Guo 64 50 0 30 Apr 2020
A Perspective on Deep Learning for Molecular Modeling and Simulations Jun Zhang Yao-Kun Lei Zhen Zhang Junhan Chang Maodong Li Xu Han Lijiang Yang Yue Yang Y. Gao AI4CE 116 8 0 25 Apr 2020
Detecting and Tracking Communal Bird Roosts in Weather Radar Data Zezhou Cheng Saadia Gabriel Pankaj Bhambhani Daniel Sheldon Subhransu Maji Andrew J. Laughlin D. Winkler 33 15 0 24 Apr 2020
Machine Learning Econometrics: Bayesian algorithms and methods Dimitris Korobilis Davide Pettenuzzo 11 1 0 23 Apr 2020
Whence the Expected Free Energy? Beren Millidge Alexander Tschantz Christopher L. Buckley 76 70 0 17 Apr 2020
A parsimonious family of multivariate Poisson-lognormal distributions for clustering multivariate count data Sanjeena Subedi R. Browne 15 2 0 15 Apr 2020
Bayesian Consensus: Consensus Estimates from Miscalibrated Instruments under Heteroscedastic Noise Chirag Nagpal R. E. Tillman P. Reddy Manuela Veloso 11 0 0 14 Apr 2020
Particle-based Energetic Variational Inference Yiwei Wang Jiuhai Chen Chun Liu Lulu Kang BDL 56 25 0 14 Apr 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 104 17 0 14 Apr 2020
Scaling Bayesian inference of mixed multinomial logit models to very large datasets Filipe Rodrigues BDL 100 3 0 11 Apr 2020
Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation Sajad Norouzi David J. Fleet Mohammad Norouzi VLM DRL 60 3 0 09 Apr 2020
Probabilistic Spatial Transformer Networks Pola Schwobel Frederik Warburg Martin Jørgensen Kristoffer Hougaard Madsen Søren Hauberg 74 8 0 07 Apr 2020
Object-Centric Image Generation with Factored Depths, Locations, and Appearances Titas Anciukevicius Christoph H. Lampert Paul Henderson OCL BDL 3DV VLM 67 33 0 01 Apr 2020
Deep State Space Models for Nonlinear System Identification Daniel Gedon Niklas Wahlström Thomas B. Schon L. Ljung 71 88 0 31 Mar 2020
Predicting the Popularity of Micro-videos with Multimodal Variational Encoder-Decoder Framework Yaochen Zhu Jiayi Xie Zhenzhong Chen 32 22 0 28 Mar 2020
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 189 55 0 23 Mar 2020
Bayesian Models Applied to Cyber Security Anomaly Detection Problems José A. Perusquía Jim Griffin C. Villa 30 7 0 23 Mar 2020
Nonparametric Deconvolution Models A. Chaney Archit Verma Young-Suk Lee Barbara E. Engelhardt 13 0 0 17 Mar 2020
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences B. Rezaei Amirreza Farnoosh Sarah Ostadabbas 112 10 0 16 Mar 2020
Dynamic transformation of prior knowledge into Bayesian models for data streams Tran Xuan Bach N. Anh Ngo Van Linh Khoat Than 69 9 0 13 Mar 2020
Towards Patient Record Summarization Through Joint Phenotype Learning in HIV Patients Gal Levy-Fix Jason Zucker Konstantin Stojanovic Noémie Elhadad 19 3 0 09 Mar 2020
Inferring Spatial Uncertainty in Object Detection Zining Wang Di Feng Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer Masayoshi Tomizuka Wei Zhan 96 27 0 07 Mar 2020
Scalable Approximate Inference and Some Applications Jun Han BDL 59 1 0 07 Mar 2020
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders Kaspar Märtens C. Yau DRL 15 9 0 06 Mar 2020