Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

50 / 1,814 papers shown

Title
Copula Variational Bayes inference via information geometry Viet-Hung Tran 22 6 0 29 Mar 2018
Pseudo-marginal Bayesian inference for supervised Gaussian process latent variable models Charles W. L. Gadd S. Wade A. Shah D. Grammatopoulos BDL GP 11 3 0 28 Mar 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 33 296 0 28 Mar 2018
Beyond black-boxes in Bayesian inverse problems and model validation: applications in solid mechanics of elastography L. Bruder P. Koutsourelakis MedIm AI4CE 12 9 0 02 Mar 2018
Approximate Inference for Constructing Astronomical Catalogs from Images Jeffrey Regier Andrew C. Miller D. Schlegel Ryan P. Adams Jon D. McAuliffe Google Brain 6 14 0 28 Feb 2018
Fast Maximum Likelihood estimation via Equilibrium Expectation for Large Network Data M. Byshkin A. Stivala Antonietta Mira G. Robins Alessandro Lomi 14 28 0 28 Feb 2018
Dimension-free Information Concentration via Exp-Concavity Ya-Ping Hsieh V. Cevher 13 1 0 26 Feb 2018
Conditionally Independent Multiresolution Gaussian Processes Jalil Taghia Thomas B. Schon 18 1 0 25 Feb 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 41 260 0 23 Feb 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 24 1,215 0 16 Feb 2018
Leveraging the Exact Likelihood of Deep Latent Variable Models Pierre-Alexandre Mattei J. Frellsen DRL 9 66 0 13 Feb 2018
Augment and Reduce: Stochastic Inference for Large Categorical Distributions Francisco J. R. Ruiz Michalis K. Titsias Adji Bousso Dieng David M. Blei BDL 19 22 0 12 Feb 2018
A Generative Model for Dynamic Networks with Applications Shubham Gupta Gaurav Sharma Ambedkar Dukkipati 28 12 0 11 Feb 2018
Black-box Variational Inference for Stochastic Differential Equations Tom Ryder Andrew Golightly A. Mcgough D. Prangle 14 57 0 09 Feb 2018
Thompson Sampling for Dynamic Pricing Ravi Ganti Mátyás A. Sustik Quoc-Huy Tran Brian Seaman 16 15 0 08 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
Yes, but Did It Work?: Evaluating Variational Inference Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 13 135 0 07 Feb 2018
An Instability in Variational Inference for Topic Models Behrooz Ghorbani H. Javadi Andrea Montanari 13 31 0 02 Feb 2018
Probabilistic Recurrent State-Space Models Andreas Doerr Christian Daniel Martin Schiegg D. Nguyen-Tuong S. Schaal Marc Toussaint Sebastian Trimpe 15 121 0 31 Jan 2018
Cataloging the Visible Universe through Bayesian Inference at Petascale Jeffrey Regier K. Pamnany Keno Fischer A. Noack Maximilian Lam ... Ryan Giordano D. Schlegel Jon D. McAuliffe R. Thomas P. Prabhat 29 16 0 31 Jan 2018
Nonparametric Bayesian volatility estimation S. Gugushvili Frank van der Meulen Moritz Schauer Peter Spreij 11 6 0 30 Jan 2018
Gaussian variational approximation for high-dimensional state space models M. Quiroz David J. Nott Robert Kohn 24 40 0 24 Jan 2018
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data Susan Athey David M. Blei Rob Donnelly Francisco J. R. Ruiz Tobias Schmidt 9 66 0 22 Jan 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 27 637 0 21 Jan 2018
A Dirichlet Process Mixture Model of Discrete Choice Rico Krueger A. Vij T. Rashidi 13 14 0 19 Jan 2018
Topic Modeling on Health Journals with Regularized Variational Inference Robert Giaquinto A. Banerjee 30 6 0 15 Jan 2018
On Statistical Optimality of Variational Bayes D. Pati A. Bhattacharya Yun Yang 29 63 0 25 Dec 2017
Model-Based Clustering of Nonparametric Weighted Networks with Application to Water Pollution Analysis Amal Agarwal Lingzhou Xue 19 14 0 21 Dec 2017
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis Takashi Matsubara T. Tashiro K. Uehara MedIm 16 42 0 18 Dec 2017
A Quantum Extension of Variational Bayes Inference Hideyuki Miyahara Yuki Sughiyama 9 9 0 13 Dec 2017
Convergence Rates of Variational Posterior Distributions Fengshuo Zhang Chao Gao 19 104 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 16 1 0 06 Dec 2017
Variational Deep Q Network Yunhao Tang A. Kucukelbir BDL 38 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 17 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 26 30 0 29 Nov 2017
Conditionally conjugate mean-field variational Bayes for logistic models Daniele Durante T. Rigon 25 36 0 19 Nov 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Bayesian Paragraph Vectors Geng Ji Robert Bamler Erik B. Sudderth Stephan Mandt BDL 3DV 19 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 19 85 0 09 Nov 2017
Bayesian model and dimension reduction for uncertainty propagation: applications in random media Constantin Grigo P. Koutsourelakis 21 31 0 07 Nov 2017
Estimation of Low-Rank Matrices via Approximate Message Passing Andrea Montanari R. Venkataramanan 27 85 0 06 Nov 2017
Approximating Partition Functions in Constant Time Vishesh Jain Frederic Koehler Elchanan Mossel 11 6 0 05 Nov 2017
Variational Inference of Disentangled Latent Concepts from Unlabeled Observations Abhishek Kumar P. Sattigeri Avinash Balakrishnan BDL DRL 21 517 0 02 Nov 2017
Deep Recurrent Gaussian Process with Variational Sparse Spectrum Approximation Roman Föll B. Haasdonk Markus Hanselmann Holger Ulmer BDL 18 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 19 120 0 02 Nov 2017
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection A. Zhang Harrison H. Zhou 19 64 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 21 50 0 26 Oct 2017
Sequential Matrix Completion A. Marsden S. Bacallado 16 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 22 7 0 16 Oct 2017
A Dynamic Edge Exchangeable Model for Sparse Temporal Networks Yin Cheng Ng Ricardo M. A. Silva 33 6 0 11 Oct 2017