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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
Using Large Ensembles of Control Variates for Variational Inference Tomas Geffner Justin Domke BDL 110 35 0 30 Oct 2018
Variational Inference with Tail-adaptive f-Divergence Dilin Wang Hao Liu Qiang Liu 109 55 0 29 Oct 2018
Consistency of ELBO maximization for model selection Badr-Eddine Chérief-Abdellatif 115 19 0 28 Oct 2018
Adversarial Semantic Scene Completion from a Single Depth Image Yida Wang D. Tan Nassir Navab Federico Tombari 3DPC 69 32 0 25 Oct 2018
Expectation Propagation for Poisson Data Chen Zhang Simon Arridge Bangti Jin 78 13 0 18 Oct 2018
Calibration procedures for approximate Bayesian credible sets J. Lee Geoff K. Nicholls Robin J. Ryder 58 13 0 15 Oct 2018
Rao-Blackwellized Stochastic Gradients for Discrete Distributions Runjing Liu Jeffrey Regier Nilesh Tripuraneni Michael I. Jordan Jon D. McAuliffe 92 32 0 10 Oct 2018
Non-linear process convolutions for multi-output Gaussian processes Mauricio A. Alvarez W. Ward Cristian Guarnizo Lemus 85 22 0 10 Oct 2018
Harmonizable mixture kernels with variational Fourier features Zheyan Shen Markus Heinonen Samuel Kaski 81 17 0 10 Oct 2018
Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives George Tucker Dieterich Lawson S. Gu Chris J. Maddison BDL 91 110 0 09 Oct 2018
Deep learning with differential Gaussian process flows Pashupati Hegde Markus Heinonen Harri Lähdesmäki Samuel Kaski BDL 93 42 0 09 Oct 2018
Design by adaptive sampling David H. Brookes Jennifer Listgarten TPM 122 66 0 08 Oct 2018
Stein Neural Sampler Tianyang Hu Zixiang Chen Hanxi Sun Jincheng Bai Mao Ye Guang Cheng SyDa GAN 79 36 0 08 Oct 2018
Deep convolutional Gaussian processes Kenneth Blomqvist Samuel Kaski Markus Heinonen BDL 91 61 0 06 Oct 2018
Deep Generative Video Compression Jun Han Salvator Lombardo Christopher Schroers Stephan Mandt VGen 87 58 0 05 Oct 2018
Doubly Semi-Implicit Variational Inference Dmitry Molchanov V. Kharitonov Artem Sobolev Dmitry Vetrov BDL 107 40 0 05 Oct 2018
Semiparametric Regression using Variational Approximations Francis K. C. Hui Chong You H. Shang Samuel G. Müller 40 17 0 03 Oct 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 93 171 0 01 Oct 2018
Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming Guillaume Baudart Javier Burroni Martin Hirzel Louis Mandel Avraham Shinnar BDL 42 4 0 30 Sep 2018
Online Inference with Multi-modal Likelihood Functions Mathieu Gerber K. Heine 74 0 0 28 Sep 2018
Variance reduction properties of the reparameterization trick Ming Xu M. Quiroz Robert Kohn Scott A. Sisson AAML 103 69 0 27 Sep 2018
Practical bounds on the error of Bayesian posterior approximations: A nonasymptotic approach Jonathan H. Huggins Trevor Campbell Mikolaj Kasprzak Tamara Broderick 82 28 0 25 Sep 2018
Discretely Relaxing Continuous Variables for tractable Variational Inference Trefor W. Evans P. Nair BDL 57 0 0 12 Sep 2018
Topic Memory Networks for Short Text Classification Jichuan Zeng Jing Li Yan Song Cuiyun Gao Michael R. Lyu Irwin King BDL 59 131 0 11 Sep 2018
Bayesian dynamic variable selection in high dimensions Gary Koop Dimitris Korobilis 57 39 0 09 Sep 2018
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation Charles Hamesse Ruibo Tu P. Ackermann Hedvig Kjellström Cheng Zhang 72 4 0 08 Sep 2018
The Sparse Latent Position Model for nonnegative weighted networks Riccardo Rastelli 40 5 0 28 Aug 2018
Natural Language Generation with Neural Variational Models Hareesh Bahuleyan DRL 47 6 0 27 Aug 2018
Task adapted reconstruction for inverse problems J. Adler Sebastian Lunz Olivier Verdier Carola-Bibiane Schönlieb Ozan Oktem 75 43 0 27 Aug 2018
TAP free energy, spin glasses, and variational inference Z. Fan Song Mei Andrea Montanari 50 26 0 23 Aug 2018
Community detection in networks without observing edges Till Hoffmann Leto Peel R. Lambiotte N. Jones 40 52 0 18 Aug 2018
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 137 494 0 14 Aug 2018
SciSports: Learning football kinematics through two-dimensional tracking data Anatoliy Babic Harshita Bansal G. Finocchio Julian Golak M. Peletier J. Portegies C. Stegehuis Anuj Tyagi Roland Vincze W. Yoo 27 0 0 14 Aug 2018
Unbiased Implicit Variational Inference Michalis K. Titsias Francisco J. R. Ruiz BDL 138 57 0 06 Aug 2018
ARM: Augment-REINFORCE-Merge Gradient for Stochastic Binary Networks Mingzhang Yin Mingyuan Zhou MQ 137 11 0 30 Jul 2018
Auto-Encoding Variational Neural Machine Translation Bryan Eikema Wilker Aziz DRL BDL 84 39 0 27 Jul 2018
Variational inequalities and mean-field approximations for partially observed systems of queueing networks Iker Perez G. Casale 39 3 0 23 Jul 2018
Subsampling MCMC - An introduction for the survey statistician M. Quiroz M. Villani Robert Kohn Minh-Ngoc Tran Khue-Dung Dang 95 23 0 23 Jul 2018
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model A. G. Baydin Lukas Heinrich W. Bhimji Lei Shao Saeid Naderiparizi ... Philip Torr Victor W. Lee P. Prabhat Kyle Cranmer Frank Wood 90 31 0 20 Jul 2018
Approximate Collapsed Gibbs Clustering with Expectation Propagation Christopher Aicher E. Fox 34 0 0 19 Jul 2018
Statistical Inference with Local Optima Yen-Chi Chen 48 9 0 12 Jul 2018
A Variational Time Series Feature Extractor for Action Prediction Maxime Chaveroche Adrien Malaisé F. Colas François Charpillet S. Ivaldi AI4TS 42 8 0 06 Jul 2018
Quasi-Monte Carlo Variational Inference Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 105 60 0 04 Jul 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 144 699 0 03 Jul 2018
COSMO: Contextualized Scene Modeling with Boltzmann Machines Ilker Bozcan Sinan Kalkan 66 15 0 02 Jul 2018
New Heuristics for Parallel and Scalable Bayesian Optimization Ran Rubin 23 0 0 01 Jul 2018
Nonparametric learning from Bayesian models with randomized objective functions Simon Lyddon S. Walker C. C. Holmes OOD 127 48 0 29 Jun 2018
The decoupled extended Kalman filter for dynamic exponential-family factorization models C. Gomez-Uribe Brian Karrer 89 6 0 26 Jun 2018
Probabilistic PARAFAC2 Philip J. H. Jørgensen S. F. V. Nielsen Jesper L. Hinrich Mikkel N. Schmidt Kristoffer Hougaard Madsen Morten Mørup 46 6 0 21 Jun 2018
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop Martin Biehl Christian Guckelsberger Christoph Salge Simón C. Smith Daniel Polani LRM AI4CE 147 26 0 21 Jun 2018