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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
Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty Hao Zhou Yunyang Xiong Vikas Singh UQCV BDL 85 4 0 10 Jun 2018
A Stein variational Newton method Gianluca Detommaso Tiangang Cui Alessio Spantini Youssef Marzouk Robert Scheichl 143 117 0 08 Jun 2018
Using Social Network Information in Bayesian Truth Discovery Jielong Yang Junshan Wang Wee Peng Tay 35 9 0 08 Jun 2018
Stein Variational Gradient Descent Without Gradient J. Han Qiang Liu 92 45 0 07 Jun 2018
Scalable Multi-Class Bayesian Support Vector Machines for Structured and Unstructured Data Martin Wistuba Ambrish Rawat BDL 52 2 0 07 Jun 2018
Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder R. A. Mancisidor Michael C. Kampffmeyer K. Aas Robert Jenssen DRL 43 3 0 07 Jun 2018
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks C. Park Kathryn B. Laskey Paulo C. G. Costa Shou Matsumoto BDL 37 2 0 06 Jun 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 81 32 0 06 Jun 2018
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference Louis C. Tiao Edwin V. Bonilla F. Ramos BDL OOD 63 7 0 05 Jun 2018
Cyberattack Detection using Deep Generative Models with Variational Inference S. Chandy A. Rasekh Zachary A. Barker M. Shafiee AAML 51 26 0 31 May 2018
Wasserstein Variational Inference L. Ambrogioni Umut Güçlü Yağmur Güçlütürk Max Hinne E. Maris Marcel van Gerven BDL DRL 111 42 0 29 May 2018
Video Anomaly Detection and Localization via Gaussian Mixture Fully Convolutional Variational Autoencoder Yaxiang Fan G. Wen Deren Li S. Qiu M. Levine DRL 68 213 0 29 May 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 89 128 0 28 May 2018
A Stochastic Decoder for Neural Machine Translation P. Schulz Wilker Aziz Trevor Cohn BDL 79 29 0 28 May 2018
Bayesian Deep Net GLM and GLMM Minh-Ngoc Tran Nghia Nguyen David J. Nott Robert Kohn BDL 139 75 0 25 May 2018
Accurate Computation of Marginal Data Densities Using Variational Bayes G. Hajargasht T. Wo'zniak 58 8 0 25 May 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 81 10 0 23 May 2018
Bayesian posterior approximation via greedy particle optimization Futoshi Futami Zhenghang Cui Issei Sato Masashi Sugiyama 78 22 0 21 May 2018
Learning 3D Shape Completion under Weak Supervision David Stutz Andreas Geiger 3DPC SSL 101 106 0 18 May 2018
A Forest Mixture Bound for Block-Free Parallel Inference Neal Lawton Aram Galstyan Greg Ver Steeg 39 0 0 17 May 2018
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures Badr-Eddine Chérief-Abdellatif Pierre Alquier 122 52 0 14 May 2018
Replicating Active Appearance Model by Generator Network Tian Han Jiawen Wu Ying Nian Wu CVBM 24 2 0 14 May 2018
Robust and Scalable Models of Microbiome Dynamics T. Gibson Georg Gerber 102 37 0 11 May 2018
Exploration by Distributional Reinforcement Learning Yunhao Tang Shipra Agrawal OOD 86 31 0 04 May 2018
QuaSE: Accurate Text Style Transfer under Quantifiable Guidance Yi Liao Lidong Bing Piji Li Shuming Shi Wai Lam Tong Zhang BDL 108 31 0 19 Apr 2018
Deep Probabilistic Programming Languages: A Qualitative Study Guillaume Baudart Martin Hirzel Louis Mandel UQCV TPM 25 8 0 17 Apr 2018
Copula Variational Bayes inference via information geometry Viet-Hung Tran 48 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 25 3 0 28 Mar 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 120 303 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 42 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 36 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 43 28 0 28 Feb 2018
Dimension-free Information Concentration via Exp-Concavity Ya-Ping Hsieh Volkan Cevher 36 1 0 26 Feb 2018
Conditionally Independent Multiresolution Gaussian Processes Jalil Taghia Thomas B. Schon 73 1 0 25 Feb 2018
Learning Latent Permutations with Gumbel-Sinkhorn Networks Gonzalo E. Mena David Belanger Scott W. Linderman Jasper Snoek 123 272 0 23 Feb 2018
Variational Autoencoders for Collaborative Filtering Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara BDL 202 1,248 0 16 Feb 2018
Leveraging the Exact Likelihood of Deep Latent Variable Models Pierre-Alexandre Mattei J. Frellsen DRL 93 67 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 124 22 0 12 Feb 2018
A Generative Model for Dynamic Networks with Applications Shubham Gupta Gaurav Sharma Ambedkar Dukkipati 158 13 0 11 Feb 2018
Black-box Variational Inference for Stochastic Differential Equations Tom Ryder Andrew Golightly A. Mcgough D. Prangle 91 58 0 09 Feb 2018
Thompson Sampling for Dynamic Pricing Ravi Ganti Mátyás A. Sustik Quoc-Huy Tran Brian Seaman 28 16 0 08 Feb 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 172 243 0 07 Feb 2018
Yes, but Did It Work?: Evaluating Variational Inference Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 86 137 0 07 Feb 2018
An Instability in Variational Inference for Topic Models Behrooz Ghorbani H. Javadi Andrea Montanari 74 33 0 02 Feb 2018
Probabilistic Recurrent State-Space Models Andreas Doerr Christian Daniel Martin Schiegg D. Nguyen-Tuong S. Schaal Marc Toussaint Sebastian Trimpe 106 123 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 60 16 0 31 Jan 2018
Nonparametric Bayesian volatility estimation S. Gugushvili Frank van der Meulen Moritz Schauer Peter Spreij 56 6 0 30 Jan 2018
Gaussian variational approximation for high-dimensional state space models M. Quiroz David J. Nott Robert Kohn 112 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 43 66 0 22 Jan 2018
Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification Yinhao Zhu N. Zabaras UQCV BDL 115 649 0 21 Jan 2018