Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

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Title
Softplus Regressions and Convex Polytopes Mingyuan Zhou 24 16 0 23 Aug 2016
Probabilistic Data Analysis with Probabilistic Programming Feras A. Saad Vikash K. Mansinghka 16 14 0 18 Aug 2016
Dynamic Collaborative Filtering with Compound Poisson Factorization Ghassen Jerfel M. Basbug Barbara E. Engelhardt 18 13 0 17 Aug 2016
Scalable Modeling of Multivariate Longitudinal Data for Prediction of Chronic Kidney Disease Progression Joseph D. Futoma M. Sendak C. Cameron Katherine A. Heller 14 1 0 16 Aug 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 19 1,069 0 16 Aug 2016
An Analysis of Lemmatization on Topic Models of Morphologically Rich Language Chandler May Ryan Cotterell Benjamin Van Durme 17 3 0 13 Aug 2016
Scaling Factorial Hidden Markov Models: Stochastic Variational Inference without Messages Yin Cheng Ng Pawel M. Chilinski Ricardo M. A. Silva 17 13 0 12 Aug 2016
Deep Survival Analysis Rajesh Ranganath A. Perotte Noémie Elhadad David M. Blei 14 197 0 06 Aug 2016
Combining Random Walks and Nonparametric Bayesian Topic Model for Community Detection Ruimin Zhu Wenxin Jiang BDL 16 1 0 19 Jul 2016
Disease Trajectory Maps Peter F. Schulam R. Arora 16 21 0 29 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 55 1,796 0 15 Jun 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 45 3,172 0 15 Jun 2016
Robust Probabilistic Modeling with Bayesian Data Reweighting Yixin Wang A. Kucukelbir David M. Blei OOD NoLa 13 12 0 13 Jun 2016
Scalable and Flexible Multiview MAX-VAR Canonical Correlation Analysis Shihao Ji Jiong Zhang Mingyi Hong N. Sidiropoulos S.V.N. Vishwanathan 11 3 0 31 May 2016
A Channelized Binning Method for Extraction of Dominant Color Pixel Value Chenghao Liu Guosheng Lin R. Vivek 8 0 0 28 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 94 3,647 0 26 May 2016
Coresets for Scalable Bayesian Logistic Regression Jonathan H. Huggins Trevor Campbell Tamara Broderick 24 217 0 20 May 2016
Gaussian variational approximation with sparse precision matrices Linda S. L. Tan David J. Nott 30 76 0 18 May 2016
Simple, Scalable and Accurate Posterior Interval Estimation Cheng Li Sanvesh Srivastava David B. Dunson 16 54 0 13 May 2016
Chained Gaussian Processes Alan D. Saul J. Hensman Aki Vehtari Neil D. Lawrence 16 59 0 18 Apr 2016
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis Andreas C. Damianou Neil D. Lawrence Carl Henrik Ek 14 12 0 17 Apr 2016
Smoothed Hierarchical Dirichlet Process: A Non-Parametric Approach to Constraint Measures Cheng Luo Yang Xiang R. Xu 16 0 0 16 Apr 2016
Hierarchical Compound Poisson Factorization M. Basbug Barbara E. Engelhardt 9 33 0 13 Apr 2016
Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves Fei Tian Bin Gao Di He Tie-Yan Liu LRM BDL 12 24 0 07 Apr 2016
A Survey on Bayesian Deep Learning Hao Wang Dit-Yan Yeung BDL 14 49 0 06 Apr 2016
Nonparametric Spherical Topic Modeling with Word Embeddings N. Batmanghelich A. Saeedi Karthik Narasimhan S. Gershman 14 88 0 01 Apr 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 22 482 0 20 Mar 2016
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling Christophe Dupuy Francis R. Bach 13 17 0 08 Mar 2016
Automatic Differentiation Variational Inference A. Kucukelbir Dustin Tran Rajesh Ranganath Andrew Gelman David M. Blei 38 709 0 02 Mar 2016
Flexible online multivariate regression with variational Bayes and the matrix-variate Dirichlet process Meng Hwee Victor Ong David J. Nott Ajay Jasra 9 0 0 29 Feb 2016
The Segmented iHMM: A Simple, Efficient Hierarchical Infinite HMM A. Saeedi Matthew Hoffman Matthew J. Johnson Ryan P. Adams 11 14 0 20 Feb 2016
Scaling up Dynamic Topic Models Arnab Bhadury Jianfei Chen Jun Zhu Shixia Liu BDL 32 67 0 19 Feb 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 24 87 0 16 Feb 2016
Variational Inference for Sparse and Undirected Models John Ingraham D. Marks 9 8 0 11 Feb 2016
Rényi Divergence Variational Inference Yingzhen Li Richard Turner BDL 42 258 0 06 Feb 2016
Streaming Gibbs Sampling for LDA Model Yang Gao Jianfei Chen Jun Zhu 23 13 0 06 Jan 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 38 4,710 0 04 Jan 2016
Distributed Bayesian Learning with Stochastic Natural-gradient Expectation Propagation and the Posterior Server Leonard Hasenclever Stefan Webb Thibaut Lienart Sebastian J. Vollmer Balaji Lakshminarayanan Charles Blundell Yee Whye Teh BDL 24 70 0 31 Dec 2015
Active Sampler: Light-weight Accelerator for Complex Data Analytics at Scale Jinyang Gao H. V. Jagadish Beng Chin Ooi 14 18 0 12 Dec 2015
Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums Abhimanu Kumar Shriphani Palakodety Chong-Jun Wang Carolyn Rose Eric P. Xing Miaomiao Wen 17 0 0 10 Dec 2015
Guaranteed inference in topic models Khoat Than Tung Doan 9 8 0 10 Dec 2015
Inference in topic models: sparsity and trade-off Khoat Than T. Ho 6 2 0 10 Dec 2015
Stochastic Collapsed Variational Inference for Sequential Data Pengyu Wang Phil Blunsom 13 0 0 05 Dec 2015
Stochastic Collapsed Variational Inference for Hidden Markov Models Pengyu Wang Phil Blunsom OffRL 4 1 0 05 Dec 2015
Black box variational inference for state space models Evan Archer Il Memming Park Lars Buesing John P. Cunningham Liam Paninski BDL 21 160 0 23 Nov 2015
The Variational Gaussian Process Dustin Tran Rajesh Ranganath David M. Blei BDL 21 184 0 20 Nov 2015
Iterative Refinement of the Approximate Posterior for Directed Belief Networks Devon Hjelm Kyunghyun Cho Junyoung Chung R. Salakhutdinov Vince D. Calhoun Nebojsa Jojic BDL 4 1 0 19 Nov 2015
Principled Parallel Mean-Field Inference for Discrete Random Fields Pierre Baqué Timur M. Bagautdinov F. Fleuret Pascal Fua FedML 18 25 0 19 Nov 2015
$k$ -means: Fighting against Degeneracy in Sequential Monte Carlo with an Application to Tracking Kai Fan Katherine A. Heller 17 0 0 13 Nov 2015
Stochastic Expectation Propagation for Large Scale Gaussian Process Classification Daniel Hernández-Lobato José Miguel Hernández-Lobato Yingzhen Li T. Bui Richard Turner BDL 30 0 0 10 Nov 2015