Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,814 papers shown

Title
$α$ -Variational Inference with Statistical Guarantees Yun Yang D. Pati A. Bhattacharya 8 25 0 09 Oct 2017
Improving approximate Bayesian computation via quasi-Monte Carlo Alexander K. Buchholz Nicolas Chopin 23 26 0 03 Oct 2017
varbvs: Fast Variable Selection for Large-scale Regression P. Carbonetto Xiaoping Zhou M. Stephens BDL 15 16 0 19 Sep 2017
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 13 131 0 18 Sep 2017
Variational Gaussian Approximation for Poisson Data Simon Arridge Kazufumi Ito Bangti Jin Chen Zhang 8 22 0 18 Sep 2017
RDeepSense: Reliable Deep Mobile Computing Models with Uncertainty Estimations Shuochao Yao Yiran Zhao Huajie Shao Aston Zhang Chao Zhang Shen Li Tarek F. Abdelzaher UQCV HAI 38 37 0 09 Sep 2017
A deep generative model for gene expression profiles from single-cell RNA sequencing Romain Lopez Jeffrey Regier Michael Cole Michael I. Jordan N. Yosef BDL 26 7 0 07 Sep 2017
Symmetric Variational Autoencoder and Connections to Adversarial Learning Liqun Chen Shuyang Dai Yunchen Pu Chunyuan Li Weiyao Wang Lawrence Carin DRL GAN 38 70 0 06 Sep 2017
Pseudo-extended Markov chain Monte Carlo Christopher Nemeth Fredrik Lindsten Maurizio Filippone J. Hensman 30 10 0 17 Aug 2017
Boosting Variational Inference: an Optimization Perspective Francesco Locatello Rajiv Khanna Joydeep Ghosh Gunnar Rätsch 18 34 0 05 Aug 2017
Hamiltonian Monte Carlo with Energy Conserving Subsampling Khue-Dung Dang M. Quiroz Robert Kohn Minh-Ngoc Tran M. Villani 29 62 0 02 Aug 2017
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization Junyu Xuan Jie Lu Guangquan Zhang R. Xu 26 4 0 18 Jul 2017
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 27 121 0 28 Jun 2017
A Contemporary Overview of Probabilistic Latent Variable Models Rick Farouni 8 1 0 25 Jun 2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization Jeffrey Regier Michael I. Jordan Jon D. McAuliffe 7 27 0 07 Jun 2017
Identification of Gaussian Process State Space Models Stefanos Eleftheriadis Tom Nicholson M. Deisenroth J. Hensman 24 111 0 30 May 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 22 210 0 25 May 2017
Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models Yida Wang Weihong Deng 3DPC 16 6 0 24 May 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 27 84 0 22 May 2017
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music Pablo A. Alvarado D. Stowell 16 7 0 19 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 36 622 0 19 May 2017
Beyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm Taikai Takeda Michiaki Hamada 10 1 0 19 May 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 28 204 0 09 May 2017
Importance Sampled Stochastic Optimization for Variational Inference J. Sakaya Arto Klami BDL 11 7 0 19 Apr 2017
Deep Occlusion Reasoning for Multi-Camera Multi-Target Detection Pierre Baqué F. Fleuret Pascal Fua ObjD 27 92 0 19 Apr 2017
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior Jeremy Morton Mykel J. Kochenderfer 21 36 0 19 Apr 2017
Using stacking to average Bayesian predictive distributions Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 28 335 0 06 Apr 2017
Inference via low-dimensional couplings Alessio Spantini Daniele Bigoni Youssef Marzouk 38 119 0 17 Mar 2017
Matched bipartite block model with covariates Zahra S. Razaee Arash A. Amini Jingyi Jessica Li 8 20 0 15 Mar 2017
Coordinated Multi-Agent Imitation Learning Hoang Minh Le Yisong Yue Peter Carr P. Lucey 31 187 0 09 Mar 2017
Dynamic Word Embeddings Robert Bamler Stephan Mandt BDL 161 231 0 27 Feb 2017
Tractable Bayesian Density Regression via Logit Stick-Breaking Priors T. Rigon Daniele Durante 19 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 16 9 0 06 Dec 2016
Properties and Bayesian fitting of restricted Boltzmann machines Andee Kaplan D. Nordman S. Vardeman AI4CE BDL 17 3 0 04 Dec 2016
Variational Fourier features for Gaussian processes J. Hensman N. Durrande Arno Solin VLM 18 200 0 21 Nov 2016
Variational Boosting: Iteratively Refining Posterior Approximations Andrew C. Miller N. Foti Ryan P. Adams 27 124 0 20 Nov 2016
Boosting Variational Inference Fangjian Guo Xiangyu Wang Kai Fan Tamara Broderick David B. Dunson BDL 27 75 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 16 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 37 765 0 06 Nov 2016
Variational Bayes In Private Settings (VIPS) Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 21 42 0 01 Nov 2016
Optimal Belief Approximation R. Leike T. Ensslin 13 22 0 27 Oct 2016
Stratification of patient trajectories using covariate latent variable models Kieran R. Campbell C. Yau 13 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 19 1 0 27 Oct 2016
Estimation and Inference for Very Large Linear Mixed Effects Models Katelyn Gao Art B. Owen 24 19 0 25 Oct 2016
Mean-Field Variational Inference for Gradient Matching with Gaussian Processes Nico S. Gorbach Stefan Bauer J. M. Buhmann BDL 20 0 0 21 Oct 2016
A global optimization algorithm for sparse mixed membership matrix factorization Fan Zhang Chuangqi Wang Andrew C. Trapp Patrick Flaherty 16 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 25 107 0 18 Oct 2016
Probabilistic Data Analysis with Probabilistic Programming Feras A. Saad Vikash K. Mansinghka 14 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 13 5 0 18 Aug 2016
How to calculate partition functions using convex programming hierarchies: provable bounds for variational methods Andrej Risteski 16 23 0 11 Jul 2016