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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
A Dirichlet Process Mixture Model of Discrete Choice Rico Krueger A. Vij T. Rashidi 46 14 0 19 Jan 2018
Topic Modeling on Health Journals with Regularized Variational Inference Robert Giaquinto A. Banerjee 63 6 0 15 Jan 2018
On Statistical Optimality of Variational Bayes D. Pati A. Bhattacharya Yun Yang 66 64 0 25 Dec 2017
Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis Amal Agarwal Lingzhou Xue 72 15 0 21 Dec 2017
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis Takashi Matsubara T. Tashiro K. Uehara MedIm 58 43 0 18 Dec 2017
A Quantum Extension of Variational Bayes Inference Hideyuki Miyahara Yuki Sughiyama 38 9 0 13 Dec 2017
Convergence Rates of Variational Posterior Distributions Fengshuo Zhang Chao Gao 116 105 0 07 Dec 2017
Exchangeable modelling of relational data: checking sparsity, train-test splitting, and sparse exchangeable Poisson matrix factorization Victor Veitch Ekansh Sharma Zacharie Naulet Daniel M. Roy 37 1 0 06 Dec 2017
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 95 10 0 30 Nov 2017
On the use of bootstrap with variational inference: Theory, interpretation, and a two-sample test example Yen-Chi Chen Y Samuel Wang E. Erosheva BDL 69 19 0 29 Nov 2017
The Block Point Process Model for Continuous-Time Event-Based Dynamic Networks Ruthwik R. Junuthula Maysam Haghdan Kevin S. Xu Vijay Devabhaktuni 147 31 0 29 Nov 2017
Conditionally conjugate mean-field variational Bayes for logistic models Daniele Durante T. Rigon 65 37 0 19 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 236 698 0 15 Nov 2017
Bayesian Paragraph Vectors Geng Ji Robert Bamler Erik B. Sudderth Stephan Mandt BDL 3DV 51 5 0 10 Nov 2017
SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements Francisco J. R. Ruiz Susan Athey David M. Blei 415 85 0 09 Nov 2017
Bayesian model and dimension reduction for uncertainty propagation: applications in random media Constantin Grigo P. Koutsourelakis 92 31 0 07 Nov 2017
Estimation of Low-Rank Matrices via Approximate Message Passing Andrea Montanari R. Venkataramanan 104 88 0 06 Nov 2017
Approximating Partition Functions in Constant Time Vishesh Jain Frederic Koehler Elchanan Mossel 34 6 0 05 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 120 523 0 02 Nov 2017
Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation Roman Föll B. Haasdonk Markus Hanselmann Holger Ulmer BDL 70 6 0 02 Nov 2017
Deep Learning from Noisy Image Labels with Quality Embedding Jiangchao Yao Jiajie Wang Ivor Tsang Ya Zhang Jun-wei Sun Chengqi Zhang Rui Zhang NoLa 100 121 0 02 Nov 2017
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection A. Zhang Harrison H. Zhou 290 67 0 30 Oct 2017
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference Scott W. Linderman Gonzalo E. Mena H. Cooper Liam Paninski John P. Cunningham 77 51 0 26 Oct 2017
Sequential Matrix Completion A. Marsden S. Bacallado 104 2 0 23 Oct 2017
What is (missing or wrong) in the scene? A Hybrid Deep Boltzmann Machine For Contextualized Scene Modeling Ilker Bozcan Y. Oymak Idil Zeynep Alemdar Sinan Kalkan BDL 54 7 0 16 Oct 2017
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks Yin Cheng Ng Ricardo M. A. Silva 153 6 0 11 Oct 2017
$α$ -Variational Inference with Statistical Guarantees Yun Yang D. Pati A. Bhattacharya 61 25 0 09 Oct 2017
Improving approximate Bayesian computation via quasi-Monte Carlo Alexander K. Buchholz Nicolas Chopin 80 26 0 03 Oct 2017
varbvs: Fast Variable Selection for Large-scale Regression P. Carbonetto Xiaoping Zhou M. Stephens BDL 42 16 0 19 Sep 2017
On Nesting Monte Carlo Estimators Tom Rainforth R. Cornish Hongseok Yang Andrew Warrington Frank Wood 159 132 0 18 Sep 2017
Variational Gaussian Approximation for Poisson Data Simon Arridge Kazufumi Ito Bangti Jin Chen Zhang 36 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 Abdelzaher UQCV HAI 91 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 167 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 116 71 0 06 Sep 2017
Pseudo-extended Markov chain Monte Carlo Christopher Nemeth Fredrik Lindsten Maurizio Filippone J. Hensman 83 10 0 17 Aug 2017
Boosting Variational Inference: an Optimization Perspective Francesco Locatello Rajiv Khanna Joydeep Ghosh Gunnar Rätsch 64 36 0 05 Aug 2017
Hamiltonian Monte Carlo with Energy Conserving Subsampling Khue-Dung Dang M. Quiroz Robert Kohn Minh-Ngoc Tran M. Villani 120 62 0 02 Aug 2017
Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization Junyu Xuan Jie Lu Guangquan Zhang R. Xu 61 4 0 18 Jul 2017
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 132 127 0 28 Jun 2017
A Contemporary Overview of Probabilistic Latent Variable Models Rick Farouni 18 1 0 25 Jun 2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization Jeffrey Regier Michael I. Jordan Jon D. McAuliffe 68 29 0 07 Jun 2017
Identification of Gaussian Process State Space Models Stefanos Eleftheriadis Tom Nicholson M. Deisenroth J. Hensman 94 113 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 262 210 0 25 May 2017
Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models Yida Wang Weihong Deng 3DPC 23 6 0 24 May 2017
Reducing Reparameterization Gradient Variance Andrew C. Miller N. Foti Alexander DÁmour Ryan P. Adams 70 84 0 22 May 2017
Efficient Learning of Harmonic Priors for Pitch Detection in Polyphonic Music Pablo A. Alvarado D. Stowell 40 7 0 19 May 2017
VAE with a VampPrior Jakub M. Tomczak Max Welling GAN BDL 139 638 0 19 May 2017
Beyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm Taikai Takeda Michiaki Hamada 19 1 0 19 May 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 155 208 0 09 May 2017
Importance Sampled Stochastic Optimization for Variational Inference J. Sakaya Arto Klami BDL 50 7 0 19 Apr 2017