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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
Asymptotic Consistency of $α-$ Rényi-Approximate Posteriors Prateek Jaiswal Vinayak A. Rao Harsha Honnappa 85 12 0 05 Feb 2019
Homogeneous Linear Inequality Constraints for Neural Network Activations Thomas Frerix Matthias Nießner Zorah Lähner 51 7 0 05 Feb 2019
Exploiting locality in high-dimensional factorial hidden Markov models Lorenzo Rimella N. Whiteley 55 6 0 05 Feb 2019
Constructing the Matrix Multilayer Perceptron and its Application to the VAE Jalil Taghia Maria Bånkestad Fredrik Lindsten Thomas B. Schon DRL 116 6 0 04 Feb 2019
DeepPBM: Deep Probabilistic Background Model Estimation from Video Sequences Amirreza Farnoosh B. Rezaei Sarah Ostadabbas BDL 78 15 0 03 Feb 2019
Variational Bayesian Decision-making for Continuous Utilities Tomasz Kuśmierczyk J. Sakaya Arto Klami 150 21 0 02 Feb 2019
Multilevel Monte Carlo Variational Inference Masahiro Fujisawa Issei Sato 57 12 0 01 Feb 2019
New Tricks for Estimating Gradients of Expectations Christian J. Walder Paul Roussel Richard Nock Cheng Soon Ong Masashi Sugiyama 47 4 0 31 Jan 2019
Metric Gaussian Variational Inference Jakob Knollmüller T. Ensslin 73 49 0 30 Jan 2019
Conditioning by adaptive sampling for robust design David H. Brookes Hahnbeom Park Jennifer Listgarten 138 199 0 29 Jan 2019
A dynamic stochastic blockmodel for interaction lengths Riccardo Rastelli Michael Fop 21 1 0 28 Jan 2019
Modelling Bounded Rationality in Multi-Agent Interactions by Generalized Recursive Reasoning Ying Wen Yaodong Yang Rui Luo Jun Wang LRM 99 52 0 26 Jan 2019
Provable Smoothness Guarantees for Black-Box Variational Inference Justin Domke 74 36 0 24 Jan 2019
A Primer on PAC-Bayesian Learning Benjamin Guedj 179 223 0 16 Jan 2019
Conditional deep surrogate models for stochastic, high-dimensional, and multi-fidelity systems Yibo Yang P. Perdikaris SyDa BDL AI4CE 66 56 0 15 Jan 2019
Large-Scale Joint Topic, Sentiment & User Preference Analysis for Online Reviews Xinli Yu Zheng Chen Wei-Shih Yang Xiaohua Hu E. Yan BDL 13 3 0 14 Jan 2019
Posterior inference unchained with EL_2O U. Seljak Byeonghee Yu 79 10 0 14 Jan 2019
Accelerated Flow for Probability Distributions Amirhossein Taghvaei P. Mehta 105 31 0 10 Jan 2019
Estimating Buildings' Parameters over Time Including Prior Knowledge Nilavra Pathak James R. Foulds Nirmalya Roy Nilanjan Banerjee R. Robucci 26 0 0 09 Jan 2019
Causality and Bayesian network PDEs for multiscale representations of porous media Kimoon Um E. Hall Markos A. Katsoulakis D. Tartakovsky AI4CE 28 16 0 06 Jan 2019
A Simple Algorithm for Scalable Monte Carlo Inference A. Borisenko M. Byshkin Alessandro Lomi 24 10 0 02 Jan 2019
A Full Probabilistic Model for Yes/No Type Crowdsourcing in Multi-Class Classification Belen Saldias-Fuentes P. Protopapas K. Pichara 48 0 0 02 Jan 2019
A Tutorial on Deep Latent Variable Models of Natural Language Yoon Kim Sam Wiseman Alexander M. Rush BDL VLM 121 42 0 17 Dec 2018
Encoding prior knowledge in the structure of the likelihood Jakob Knollmüller T. Ensslin 69 11 0 11 Dec 2018
Variational Bayesian Weighted Complex Network Reconstruction Shuang Xu Chunxia Zhang Pei Wang Jiangshe Zhang 28 14 0 11 Dec 2018
Adaptive and Calibrated Ensemble Learning with Dependent Tail-free Process Jeremiah Zhe Liu John Paisley M. Kioumourtzoglou B. Coull 24 1 0 08 Dec 2018
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples Huangyi Ge Sze Yiu Chau Bruno Ribeiro Ninghui Li AAML 41 1 0 05 Dec 2018
Batch Selection for Parallelisation of Bayesian Quadrature E. Wagstaff Saad Hamid Michael A. Osborne 54 6 0 04 Dec 2018
Stochastic Gradient MCMC with Repulsive Forces Víctor Gallego D. Insua BDL 70 37 0 30 Nov 2018
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference Mahesh Subedar R. Krishnan P. López-Meyer Omesh Tickoo Jonathan Huang BDL EDL UQCV 47 0 0 27 Nov 2018
Sequential Variational Autoencoders for Collaborative Filtering Noveen Sachdeva Giuseppe Manco Ettore Ritacco Vikram Pudi BDL 75 103 0 25 Nov 2018
Streamlining Variational Inference for Constraint Satisfaction Problems Aditya Grover Tudor Achim Stefano Ermon 41 16 0 24 Nov 2018
Bayesian QuickNAT: Model Uncertainty in Deep Whole-Brain Segmentation for Structure-wise Quality Control Abhijit Guha Roy Sailesh Conjeti Nassir Navab Christian Wachinger UQCV 76 120 0 24 Nov 2018
Surrogate-assisted parallel tempering for Bayesian neural learning Rohitash Chandra Konark Jain Arpit Kapoor Ashray Aman BDL 47 8 0 21 Nov 2018
Joint Mapping and Calibration via Differentiable Sensor Fusion Jonathan P. Chen F. Obermeyer V. Lyapunov L. Gueguen Noah D. Goodman 33 0 0 21 Nov 2018
Black-Box Autoregressive Density Estimation for State-Space Models Tom Ryder Andrew Golightly A. Mcgough D. Prangle BDL 46 6 0 20 Nov 2018
Geometry of Friston's active inference Martin Biehl LLMSV AI4CE LRM 16 0 0 20 Nov 2018
Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yibo Yang P. Perdikaris AI4CE PINN 159 361 0 09 Nov 2018
A Bayesian Perspective of Statistical Machine Learning for Big Data R. Sambasivan Sourish Das S. Sahu BDL GP 61 20 0 09 Nov 2018
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles Remus Pop Patric Fulop UQCV 69 41 0 09 Nov 2018
Large-Scale Visual Active Learning with Deep Probabilistic Ensembles Kashyap Chitta J. Álvarez Adam Lesnikowski BDL UQCV 128 35 0 08 Nov 2018
A Factor Graph Approach to Automated Design of Bayesian Signal Processing Algorithms Gautam Srivastava T. V. D. Laar Rajani Singh 55 55 0 08 Nov 2018
BAR: Bayesian Activity Recognition using variational inference R. Krishnan Mahesh Subedar S. Bhatnagar BDL UQCV 65 21 0 08 Nov 2018
Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization Matthew Maciejewski J. Álvarez Adam Lesnikowski BDL UQCV 55 3 0 06 Nov 2018
A Variational Inference Algorithm for BKMR in the Cross-Sectional Setting Raphael Small B. Coull 26 0 0 06 Nov 2018
Superregular grammars do not provide additional explanatory power but allow for a compact analysis of animal song Takashi Morita H. Koda 24 7 0 05 Nov 2018
DAPPER: Scaling Dynamic Author Persona Topic Model to Billion Word Corpora S. Zee Alice Havrileck 27 3 0 03 Nov 2018
VIREL: A Variational Inference Framework for Reinforcement Learning M. Fellows Anuj Mahajan Tim G. J. Rudner Shimon Whiteson DRL 127 56 0 03 Nov 2018
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model Yujia Wang Nhat Ho David J. Miller Anima Anandkumar Michael I. Jordan Richard G. Baraniuk BDL GAN 96 8 0 01 Nov 2018
Strong consistency of the AIC, BIC, $C_p$ and KOO methods in high-dimensional multivariate linear regression Z. Bai Y. Fujikoshi Jiang Hu 108 6 0 30 Oct 2018