Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

50 / 1,065 papers shown

Title
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical Data Y. Gal Yutian Chen Zoubin Ghahramani SyDa 29 41 0 07 Mar 2015
Local Expectation Gradients for Doubly Stochastic Variational Inference Michalis K. Titsias BDL 19 9 0 04 Mar 2015
Covariance Matrices and Influence Scores for Mean Field Variational Bayes Ryan Giordano Tamara Broderick 18 2 0 26 Feb 2015
Breaking Sticks and Ambiguities with Adaptive Skip-gram Sergey Bartunov D. Kondrashkin A. Osokin Dmitry Vetrov BDL 28 161 0 25 Feb 2015
Topic-adjusted visibility metric for scientific articles Linda S. L. Tan Aik Hui Chan Tian Zheng 32 8 0 25 Feb 2015
Probabilistic Line Searches for Stochastic Optimization Maren Mahsereci Philipp Hennig ODL 26 126 0 10 Feb 2015
A Collaborative Kalman Filter for Time-Evolving Dyadic Processes San Gultekin John Paisley 19 43 0 22 Jan 2015
(Non-) asymptotic properties of Stochastic Gradient Langevin Dynamics Sebastian J. Vollmer K. Zygalakis and Yee Whye Teh 45 49 0 02 Jan 2015
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data Aki Vehtari Andrew Gelman Tuomas Sivula Pasi Jylänki Dustin Tran Swupnil Sahai Paul Blomstedt John P. Cunningham D. Schiminovich Christian P. Robert 28 18 0 16 Dec 2014
Nested Variational Compression in Deep Gaussian Processes J. Hensman Neil D. Lawrence BDL 25 67 0 03 Dec 2014
Streaming Variational Inference for Bayesian Nonparametric Mixture Models Alex Tank N. Foti E. Fox BDL 29 37 0 01 Dec 2014
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation Scott W. Linderman Matthew J. Johnson M. Wilson Z. Chen 40 9 0 27 Nov 2014
Big Learning with Bayesian Methods Jun Zhu Jianfei Chen Wenbo Hu Bo Zhang BDL 41 84 0 24 Nov 2014
Variational Tempering Stephan Mandt James McInerney Farhan Abrol Rajesh Ranganath David M. Blei BDL 24 55 0 07 Nov 2014
Stochastic Variational Inference for Hidden Markov Models N. Foti Jason Xu Dillon Laird E. Fox BDL 26 93 0 06 Nov 2014
Population Empirical Bayes A. Kucukelbir David M. Blei 29 1 0 02 Nov 2014
Covariance Matrices for Mean Field Variational Bayes Ryan Giordano Tamara Broderick 29 0 0 24 Oct 2014
Model Selection for Topic Models via Spectral Decomposition Dehua Cheng Xinran He Yan Liu 31 9 0 23 Oct 2014
BayesPy: Variational Bayesian Inference in Python Jaakko Luttinen BDL 21 16 0 03 Oct 2014
Topic Modeling of Hierarchical Corpora Do-kyum Kim G. Voelker Lawrence K. Saul 19 0 0 11 Sep 2014
Consistency and fluctuations for stochastic gradient Langevin dynamics Yee Whye Teh Alexandre Hoang Thiery Sebastian J. Vollmer 26 228 0 01 Sep 2014
Automated Machine Learning on Big Data using Stochastic Algorithm Tuning T. Nickson Michael A. Osborne S. Reece Stephen J. Roberts 29 25 0 30 Jul 2014
Automatic discovery of cell types and microcircuitry from neural connectomics Eric Jonas Konrad Paul Kording 44 61 0 15 Jul 2014
Variational Gaussian Process State-Space Models R. Frigola Yutian Chen C. Rasmussen BDL 23 176 0 18 Jun 2014
Smoothed Gradients for Stochastic Variational Inference Stephan Mandt David M. Blei BDL DiffM 36 29 0 13 Jun 2014
Peacock: Learning Long-Tail Topic Features for Industrial Applications Yi Wang Xuemin Zhao Zhenlong Sun Hao Yan Lifeng Wang Zhihui Jin Liubin Wang Yang Gao Ching Law Jia Zeng AI4TS 103 61 0 17 May 2014
Structured Stochastic Variational Inference Matthew D. Hoffman David M. Blei BDL 26 87 0 16 Apr 2014
Accelerating MCMC via Parallel Predictive Prefetching E. Angelino E. Kohler Amos Waterland Margo Seltzer Ryan P. Adams 32 38 0 28 Mar 2014
Firefly Monte Carlo: Exact MCMC with Subsets of Data D. Maclaurin Ryan P. Adams 31 177 0 22 Mar 2014
Hierarchical Dirichlet Scaling Process Dongwoo Kim Alice H. Oh 29 14 0 22 Mar 2014
Scalable and Robust Construction of Topical Hierarchies Chi Wang Xueqing Liu Yanglei Song Jiawei Han AI4TS 36 5 0 13 Mar 2014
Robust and Scalable Bayes via a Median of Subset Posterior Measures Stanislav Minsker Sanvesh Srivastava Lizhen Lin David B. Dunson 51 108 0 11 Mar 2014
Scaling Nonparametric Bayesian Inference via Subsample-Annealing F. Obermeyer Jonathan Glidden Eric Jonas 23 12 0 22 Feb 2014
Stochastic Gradient Hamiltonian Monte Carlo Tianqi Chen E. Fox Carlos Guestrin BDL 42 896 0 17 Feb 2014
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models Y. Gal Mark van der Wilk C. Rasmussen 33 150 0 06 Feb 2014
Parsimonious Topic Models with Salient Word Discovery Hossein Soleimani David J. Miller 35 32 0 22 Jan 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Daan Wierstra BDL 37 138 0 16 Jan 2014
Coordinate Descent with Online Adaptation of Coordinate Frequencies Tobias Glasmachers Ürün Dogan 31 4 0 15 Jan 2014
Bayesian Conditional Density Filtering S. Qamar Rajarshi Guhaniyogi David B. Dunson 45 11 0 15 Jan 2014
Fast nonparametric clustering of structured time-series J. Hensman M. Rattray Neil D. Lawrence AI4TS 35 61 0 08 Jan 2014
On Using Control Variates with Stochastic Approximation for Variational Bayes and its Connection to Stochastic Linear Regression Tim Salimans David A. Knowles BDL 32 33 0 06 Jan 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 36 1,157 0 31 Dec 2013
Petuum: A New Platform for Distributed Machine Learning on Big Data Eric P. Xing Qirong Ho Wei-Ming Dai Jin Kyu Kim Jinliang Wei Seunghak Lee Xun Zheng Junming Yin Abhimanu Kumar Eric P. Xing 47 35 0 30 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 34 17,001 0 20 Dec 2013
A Generative Product-of-Filters Model of Audio Dawen Liang Matthew D. Hoffman G. J. Mysore TPM 34 5 0 20 Dec 2013
Online Bayesian Passive-Aggressive Learning Tianlin Shi Jun Zhu 61 38 0 12 Dec 2013
Scalable Recommendation with Poisson Factorization Prem Gopalan Jake M. Hofman David M. Blei 32 156 0 07 Nov 2013
Gaussian Processes for Big Data J. Hensman Nicolò Fusi Neil D. Lawrence GP 35 1,216 0 26 Sep 2013
One-class Collaborative Filtering with Random Graphs: Annotated Version Ulrich Paquet Noam Koenigstein BDL 31 3 0 26 Sep 2013
Scalable Probabilistic Entity-Topic Modeling N. Houlsby Massimiliano Ciaramita 39 4 0 02 Sep 2013