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Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

38 / 1,838 papers shown

Title
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection Pierre Baqué François Fleuret Pascal Fua ObjD 77 92 0 19 Apr 2017
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior Jeremy Morton Mykel J. Kochenderfer 69 36 0 19 Apr 2017
Using stacking to average Bayesian predictive distributions Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 115 342 0 06 Apr 2017
Inference via low-dimensional couplings Alessio Spantini Daniele Bigoni Youssef Marzouk 145 119 0 17 Mar 2017
Matched bipartite block model with covariates Zahra S. Razaee Arash A. Amini Jingyi Jessica Li 84 23 0 15 Mar 2017
Coordinated Multi-Agent Imitation Learning Hoang Minh Le Yisong Yue Peter Carr P. Lucey 77 192 0 09 Mar 2017
Dynamic Word Embeddings Robert Bamler Stephan Mandt BDL 236 232 0 27 Feb 2017
Tractable Bayesian Density Regression via Logit Stick-Breaking Priors T. Rigon Daniele Durante 79 27 0 11 Jan 2017
Semi-Supervised Learning with the Deep Rendering Mixture Model M. T. Nguyen Wanjia Liu Ethan Perez Richard G. Baraniuk Ankit B. Patel BDL 108 9 0 06 Dec 2016
Properties and Bayesian fitting of restricted Boltzmann machines Andee Kaplan D. Nordman S. Vardeman AI4CE BDL 29 3 0 04 Dec 2016
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 99 202 0 21 Nov 2016
Variational Boosting: Iteratively Refining Posterior Approximations Andrew C. Miller N. Foti Ryan P. Adams 92 124 0 20 Nov 2016
Boosting Variational Inference Fangjian Guo Xiangyu Wang Kai Fan Tamara Broderick David B. Dunson BDL 152 76 0 17 Nov 2016
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference Jeffrey Regier Steven R. Howard Ryan Giordano Ryan P. Adams Andy Miller Jon D. McAuliffe Andreas Jensen 66 7 0 10 Nov 2016
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys Pratik Chaudhari A. Choromańska Stefano Soatto Yann LeCun Carlo Baldassi C. Borgs J. Chayes Levent Sagun R. Zecchina ODL 125 775 0 06 Nov 2016
Variational Bayes In Private Settings (VIPS) Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 105 42 0 01 Nov 2016
Optimal Belief Approximation R. Leike T. Ensslin 34 22 0 27 Oct 2016
Stratification of patient trajectories using covariate latent variable models Kieran R. Campbell C. Yau 20 0 0 27 Oct 2016
Joint Target Detection and Tracking in Multipath Environment: A Variational Bayesian Approach Hua Lan Shuai Sun Zengfu Wang Quan Pan Zhishan Zhang 46 1 0 27 Oct 2016
Estimation and Inference for Very Large Linear Mixed Effects Models Katelyn Gao Art B. Owen 59 19 0 25 Oct 2016
Mean-Field Variational Inference for Gradient Matching with Gaussian Processes Nico S. Gorbach Stefan Bauer J. M. Buhmann BDL 22 0 0 21 Oct 2016
A global optimization algorithm for sparse mixed membership matrix factorization Fan Zhang Chuangqi Wang Andrew C. Trapp Patrick Flaherty 23 0 0 19 Oct 2016
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms C. A. Naesseth Francisco J. R. Ruiz Scott W. Linderman David M. Blei BDL 150 107 0 18 Oct 2016
Probabilistic Data Analysis with Probabilistic Programming Feras A. Saad Vikash K. Mansinghka 41 14 0 18 Aug 2016
Efficient real-time monitoring of an emerging influenza epidemic: how feasible? Paul J. Birrell L. Wernisch Brian D. M. Tom Leonhard Held Gareth O. Roberts R. Pebody Daniela De Angelis 39 5 0 18 Aug 2016
How to calculate partition functions using convex programming hierarchies: provable bounds for variational methods Andrej Risteski 67 24 0 11 Jul 2016
Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis Shihao Ji Jiong Zhang Mingyi Hong N. Sidiropoulos S.V.N. Vishwanathan 28 3 0 31 May 2016
Posterior Dispersion Indices A. Kucukelbir David M. Blei 32 0 0 24 May 2016
Variational Latent Gaussian Process for Recovering Single-Trial Dynamics from Population Spike Trains Yuan Zhao Il-Su Park 108 117 0 11 Apr 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 123 486 0 20 Mar 2016
Automatic Differentiation Variational Inference A. Kucukelbir Dustin Tran Rajesh Ranganath Andrew Gelman David M. Blei 133 720 0 02 Mar 2016
Sparse Estimation of Multivariate Poisson Log-Normal Models from Count Data Hao Wu Xinwei Deng Naren Ramakrishnan 50 16 0 22 Feb 2016
A Deep Learning Approach to Unsupervised Ensemble Learning Uri Shaham Xiuyuan Cheng Omer Dror Ariel Jaffe B. Nadler Joseph T. Chang Y. Kluger UQCV 83 35 0 06 Feb 2016
Neuron's Eye View: Inferring Features of Complex Stimuli from Neural Responses Xin Chen Chen J. Beck John M. Pearson 15 2 0 04 Dec 2015
A General Method for Robust Bayesian Modeling Chong-Jun Wang David M. Blei OOD 64 53 0 17 Oct 2015
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation Nicolas Chopin James Ridgway 105 76 0 29 Jun 2015
Exact and approximate inference in graphical models: variable elimination and beyond N. Peyrard Marie-Josée Cros S. D. Givry A. Franc Stephane S. Robin R. Sabbadin T. Schiex Matthieu Vignes TPM 42 6 0 29 Jun 2015
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family Setting Sanjeena Subedi P. McNicholas 76 8 0 23 Jun 2013