Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

50 / 1,065 papers shown

Title
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 28 204 0 09 May 2017
Optimal client recommendation for market makers in illiquid financial products Dieter Hendricks Stephen J. Roberts 17 2 0 27 Apr 2017
Stein Variational Adaptive Importance Sampling J. Han Qiang Liu 24 28 0 18 Apr 2017
Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models A. Saeedi Matthew D. Hoffman S. DiVerdi Asma Ghandeharioun Matthew J. Johnson Ryan P. Adams DiffM 29 9 0 17 Apr 2017
$k$ -means as a variational EM approximation of Gaussian mixture models Jörg Lücke D. Forster DRL VLM 10 49 0 16 Apr 2017
Stochastic Gradient Descent as Approximate Bayesian Inference Stephan Mandt Matthew D. Hoffman David M. Blei BDL 14 586 0 13 Apr 2017
Pólya Urn Latent Dirichlet Allocation: a doubly sparse massively parallel sampler Alexander Terenin Måns Magnusson Leif Jonsson D. Draper 11 18 0 12 Apr 2017
Parametric Gaussian Process Regression for Big Data M. Raissi 25 39 0 11 Apr 2017
An Online Hierarchical Algorithm for Extreme Clustering Ari Kobren Nicholas Monath A. Krishnamurthy Andrew McCallum 12 13 0 06 Apr 2017
AMIDST: a Java Toolbox for Scalable Probabilistic Machine Learning A. Masegosa A. M. Martínez Darío Ramos-López Rafael Cabañas Antonio Salmerón Thomas D. Nielsen H. Langseth A. Madsen 19 21 0 04 Apr 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models Mohammad Emtiyaz Khan Wu Lin BDL 22 135 0 13 Mar 2017
Coordinated Multi-Agent Imitation Learning Hoang Minh Le Yisong Yue Peter Carr P. Lucey 31 187 0 09 Mar 2017
Probabilistic Reduced-Order Modeling for Stochastic Partial Differential Equations Constantin Grigo P. Koutsourelakis AI4CE 8 4 0 06 Mar 2017
Hierarchical Implicit Models and Likelihood-Free Variational Inference Dustin Tran Rajesh Ranganath David M. Blei VLM GAN 30 100 0 28 Feb 2017
General Bayesian inference schemes in infinite mixture models Maria Lomeli 14 0 0 28 Feb 2017
Embarrassingly Parallel Inference for Gaussian Processes M. Zhang Sinead Williamson 20 24 0 27 Feb 2017
Dynamic Word Embeddings Robert Bamler Stephan Mandt BDL 161 231 0 27 Feb 2017
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 22 61 0 27 Feb 2017
Bayesian inference on random simple graphs with power law degree distributions Juho Lee Creighton Heaukulani Zoubin Ghahramani Lancelot F. James Seungjin Choi 19 4 0 27 Feb 2017
Sequence Modeling via Segmentations Chong-Jun Wang Yining Wang Po-Sen Huang Abdel-rahman Mohamed Dengyong Zhou Li Deng 19 44 0 24 Feb 2017
Variational Dropout Sparsifies Deep Neural Networks Dmitry Molchanov Arsenii Ashukha Dmitry Vetrov BDL 17 819 0 19 Jan 2017
Deep Probabilistic Programming Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 36 193 0 13 Jan 2017
Fast mixing for Latent Dirichlet allocation J. Jonasson 13 2 0 11 Jan 2017
Coupled Compound Poisson Factorization M. Basbug Barbara E. Engelhardt 16 7 0 09 Jan 2017
Expectation Propagation performs a smoothed gradient descent Guillaume P. Dehaene BDL UQCV 11 3 0 15 Dec 2016
Monte Carlo Structured SVI for Two-Level Non-Conjugate Models Rishit Sheth R. Khardon BDL 13 7 0 12 Dec 2016
Two Methods For Wild Variational Inference Qiang Liu Yihao Feng BDL 32 19 0 30 Nov 2016
Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge Ryan J. Gallagher Kyle Reing David C. Kale Greg Ver Steeg 33 168 0 30 Nov 2016
Variational Boosting: Iteratively Refining Posterior Approximations Andrew C. Miller N. Foti Ryan P. Adams 27 124 0 20 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 21 7 0 10 Nov 2016
Normalizing Flows on Riemannian Manifolds Mevlana Gemici Danilo Jimenez Rezende S. Mohamed BDL 22 103 0 07 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 24 2,505 0 02 Nov 2016
Variational Bayes In Private Settings (VIPS) Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 21 42 0 01 Nov 2016
Variational Inference via $χ$ -Upper Bound Minimization Adji Bousso Dieng Dustin Tran Rajesh Ranganath John Paisley David M. Blei BDL 81 36 0 01 Nov 2016
Edward: A library for probabilistic modeling, inference, and criticism Dustin Tran A. Kucukelbir Adji Bousso Dieng Maja R. Rudolph Dawen Liang David M. Blei 16 300 0 31 Oct 2016
Community detection with nodal information Haolei Weng Yang Feng 19 30 0 31 Oct 2016
Geometric Dirichlet Means algorithm for topic inference Mikhail Yurochkin X. Nguyen 21 19 0 27 Oct 2016
Operator Variational Inference Rajesh Ranganath Jaan Altosaar Dustin Tran David M. Blei 15 116 0 27 Oct 2016
Stratification of patient trajectories using covariate latent variable models Kieran R. Campbell C. Yau 18 0 0 27 Oct 2016
Recurrent switching linear dynamical systems Scott W. Linderman Andrew C. Miller Ryan P. Adams David M. Blei Liam Paninski Matthew J. Johnson 36 69 0 26 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
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
Truncated Variational Expectation Maximization J. Lucke 30 12 0 10 Oct 2016
Variational Inference with Hamiltonian Monte Carlo Christopher Wolf Maximilian Karl Patrick van der Smagt BDL 23 37 0 26 Sep 2016
Fast Learning of Clusters and Topics via Sparse Posteriors M. C. Hughes Erik B. Sudderth 17 14 0 23 Sep 2016
Nonparametric Bayesian Topic Modelling with the Hierarchical Pitman-Yor Processes Kar Wai Lim Wray L. Buntine Changyou Chen Lan Du 11 33 0 22 Sep 2016
Online and Distributed learning of Gaussian mixture models by Bayesian Moment Matching P. Jaini Pascal Poupart 32 14 0 19 Sep 2016
Discussion of "Fast Approximate Inference for Arbitrarily Large Semiparametric Regression Models via Message Passing" Dustin Tran David M. Blei 27 20 0 19 Sep 2016
Private Topic Modeling Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 13 12 0 14 Sep 2016
Towards Bayesian Deep Learning: A Framework and Some Existing Methods Hao Wang Dit-Yan Yeung BDL 26 224 0 24 Aug 2016