Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

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Title
Hierarchical Variational Models Rajesh Ranganath Dustin Tran David M. Blei DRL VLM 14 335 0 07 Nov 2015
Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees Sayantani Dasgupta 9 0 0 03 Nov 2015
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions Mohammad Emtiyaz Khan Reza Babanezhad Wu Lin Mark W. Schmidt Masashi Sugiyama 28 49 0 31 Oct 2015
Streaming, Distributed Variational Inference for Bayesian Nonparametrics Trevor Campbell Julian Straub John W. Fisher III Jonathan P. How 15 41 0 30 Oct 2015
WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation Jianfei Chen Kaiwei Li Jun Zhu Wenguang Chen 24 69 0 29 Oct 2015
A 'Gibbs-Newton' Technique for Enhanced Inference of Multivariate Polya Parameters and Topic Models O. Khalifa D. Corne M. Chantler 11 0 0 22 Oct 2015
Accelerometer based Activity Classification with Variational Inference on Sticky HDP-SLDS M. Basbug Koray Ozcan Senem Velipasalar 16 0 0 19 Oct 2015
A General Method for Robust Bayesian Modeling Chong-Jun Wang David M. Blei OOD 15 53 0 17 Oct 2015
Scalable MCMC for Mixed Membership Stochastic Blockmodels Wenzhe Li Sungjin Ahn Max Welling BDL 34 42 0 16 Oct 2015
Fast Second-Order Stochastic Backpropagation for Variational Inference Kai Fan Ziteng Wang J. Beck James T. Kwok Katherine A. Heller ODL BDL DRL 23 45 0 09 Sep 2015
Stochastic gradient variational Bayes for gamma approximating distributions David A. Knowles BDL 14 50 0 04 Sep 2015
Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data Changwei Hu Piyush Rai Changyou Chen Matthew Harding Lawrence Carin 6 46 0 18 Aug 2015
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors Changwei Hu Piyush Rai Lawrence Carin 13 37 0 18 Aug 2015
Bayesian Dropout Tue Herlau Morten Mørup Mikkel N. Schmidt BDL 27 2 0 12 Aug 2015
Training Conditional Random Fields with Natural Gradient Descent Yuan Cao BDL 14 0 0 10 Aug 2015
String and Membrane Gaussian Processes Yves-Laurent Kom Samo Stephen J. Roberts 28 17 0 24 Jul 2015
The Population Posterior and Bayesian Inference on Streams James McInerney Rajesh Ranganath David M. Blei 41 7 0 19 Jul 2015
Incremental Variational Inference for Latent Dirichlet Allocation Cédric Archambeau Beyza Ermis BDL 18 6 0 17 Jul 2015
Sparse Probit Linear Mixed Model Stephan Mandt F. Wenzel Shinichi Nakajima John P. Cunningham C. Lippert Marius Kloft 31 11 0 16 Jul 2015
Black-Box Policy Search with Probabilistic Programs Jan-Willem van de Meent Brooks Paige David Tolpin Frank Wood 11 24 0 16 Jul 2015
Scalable Gaussian Process Classification via Expectation Propagation Daniel Hernández-Lobato José Miguel Hernández-Lobato 32 52 0 16 Jul 2015
On the Convergence of Stochastic Variational Inference in Bayesian Networks Ulrich Paquet BDL 37 10 0 16 Jul 2015
Scalable Bayesian Inference for Excitatory Point Process Networks Scott W. Linderman Ryan P. Adams 22 58 0 12 Jul 2015
Inference for determinantal point processes without spectral knowledge Rémi Bardenet Michalis K. Titsias 17 24 0 04 Jul 2015
D-MFVI: Distributed Mean Field Variational Inference using Bregman ADMM Behnam Babagholami-Mohamadabadi Sejong Yoon Vladimir Pavlovic 21 6 0 03 Jul 2015
Correlated Random Measures Rajesh Ranganath David M. Blei 22 21 0 02 Jul 2015
Online Learning to Sample Guillaume Bouchard Théo Trouillon J. Perez Adrien Gaidon OffRL OnRL 21 30 0 30 Jun 2015
Leave Pima Indians alone: binary regression as a benchmark for Bayesian computation Nicolas Chopin James Ridgway 37 75 0 29 Jun 2015
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process Amar Shah David A. Knowles Zoubin Ghahramani BDL 22 8 0 26 Jun 2015
Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms Yuchen Zhang Michael I. Jordan 28 20 0 24 Jun 2015
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements Qinqing Zheng John D. Lafferty 19 185 0 19 Jun 2015
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation Scott W. Linderman Matthew J. Johnson Ryan P. Adams 22 97 0 18 Jun 2015
Stochastic Expectation Propagation Yingzhen Li Jose Miguel Hernandez-Lobato Richard Turner 21 114 0 12 Jun 2015
On the properties of variational approximations of Gibbs posteriors Pierre Alquier James Ridgway Nicolas Chopin 47 249 0 12 Jun 2015
Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes Ryan Giordano Tamara Broderick Michael I. Jordan 23 83 0 12 Jun 2015
Sparse Partially Collapsed MCMC for Parallel Inference in Topic Models Maans Magnusson Leif Jonsson M. Villani David Broman 18 17 0 11 Jun 2015
Automatic Variational Inference in Stan A. Kucukelbir Rajesh Ranganath Andrew Gelman David M. Blei BDL 29 232 0 10 Jun 2015
Provable Bayesian Inference via Particle Mirror Descent Bo Dai Niao He H. Dai Le Song 36 70 0 09 Jun 2015
Variational consensus Monte Carlo Maxim Rabinovich E. Angelino Michael I. Jordan 26 50 0 09 Jun 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference Y. Gal Zoubin Ghahramani UQCV BDL 197 745 0 06 Jun 2015
Dropout as a Bayesian Approximation: Appendix Y. Gal Zoubin Ghahramani BDL 22 64 0 06 Jun 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,145 0 06 Jun 2015
A trust-region method for stochastic variational inference with applications to streaming data Lucas Theis Matthew D. Hoffman 20 42 0 28 May 2015
Stochastic Annealing for Variational Inference San Gultekin Aonan Zhang John Paisley BDL 37 1 0 25 May 2015
Clustering via Content-Augmented Stochastic Blockmodels J. M. Cashore Xiaoting Zhao Alexander A. Alemi Yujia Liu P. Frazier 24 0 0 25 May 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 20 4,105 0 21 May 2015
On Sparse variational methods and the Kullback-Leibler divergence between stochastic processes A. G. Matthews J. Hensman Richard Turner Zoubin Ghahramani 25 189 0 27 Apr 2015
Online Inference for Relation Extraction with a Reduced Feature Set Maxim Rabinovich Cédric Archambeau 20 0 0 18 Apr 2015
On some provably correct cases of variational inference for topic models Pranjal Awasthi Andrej Risteski VLM BDL 22 16 0 23 Mar 2015
Improving the Gaussian Process Sparse Spectrum Approximation by Representing Uncertainty in Frequency Inputs Y. Gal Richard Turner 16 78 0 09 Mar 2015