v1v2v3 (latest)

Advances in Variational Inference

15 November 2017

Papers citing "Advances in Variational Inference"

50 / 120 papers shown

Title
Edward: A library for probabilistic modeling, inference, and criticism Dustin Tran A. Kucukelbir Adji Bousso Dieng Maja R. Rudolph Dawen Liang David M. Blei 93 300 0 31 Oct 2016
Operator Variational Inference Rajesh Ranganath Jaan Altosaar Dustin Tran David M. Blei 77 116 0 27 Oct 2016
Big Batch SGD: Automated Inference using Adaptive Batch Sizes Soham De A. Yadav David Jacobs Tom Goldstein ODL 165 62 0 18 Oct 2016
Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms C. A. Naesseth Francisco J. R. Ruiz Scott W. Linderman David M. Blei BDL 146 107 0 18 Oct 2016
Learning in Implicit Generative Models S. Mohamed Balaji Lakshminarayanan GAN 202 417 0 11 Oct 2016
The Generalized Reparameterization Gradient Francisco J. R. Ruiz Michalis K. Titsias David M. Blei BDL 111 169 0 07 Oct 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 205 260 0 07 Sep 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Qiang Liu Dilin Wang BDL 93 1,094 0 16 Aug 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 277 3,722 0 26 May 2016
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation T. Bui Josiah Yan Richard Turner 80 25 0 23 May 2016
Stick-Breaking Variational Autoencoders Marco Cote Padhraic Smyth BDL DRL 130 163 0 20 May 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 146 47 0 03 Mar 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 107 87 0 16 Feb 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Qiang Liu Jason D. Lee Michael I. Jordan 113 486 0 10 Feb 2016
A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt Matthew D. Hoffman David M. Blei 68 161 0 08 Feb 2016
Rényi Divergence Variational Inference Yingzhen Li Richard Turner BDL 126 263 0 06 Feb 2016
Importance Sampling for Minibatches Dominik Csiba Peter Richtárik 103 116 0 06 Feb 2016
Ladder Variational Autoencoders C. Sønderby T. Raiko Lars Maaløe Søren Kaae Sønderby Ole Winther BDL DRL 99 915 0 06 Feb 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 305 4,812 0 04 Jan 2016
The Variational Gaussian Process Dustin Tran Rajesh Ranganath David M. Blei BDL 99 186 0 20 Nov 2015
Variational Auto-encoded Deep Gaussian Processes Zhenwen Dai Andreas C. Damianou Javier I. González Neil D. Lawrence BDL 76 131 0 19 Nov 2015
Generating Sentences from a Continuous Space Samuel R. Bowman Luke Vilnis Oriol Vinyals Andrew M. Dai Rafal Jozefowicz Samy Bengio DRL 113 2,364 0 19 Nov 2015
Neural Variational Inference for Text Processing Yishu Miao Lei Yu Phil Blunsom VLM DRL 139 622 0 19 Nov 2015
Deep Kalman Filters Rahul G. Krishnan Uri Shalit David Sontag BDL AI4TS 77 374 0 16 Nov 2015
Black-box $α$ -divergence Minimization José Miguel Hernández-Lobato Yingzhen Li Mark Rowland Daniel Hernández-Lobato T. Bui Richard Turner 125 140 0 10 Nov 2015
Hierarchical Variational Models Rajesh Ranganath Dustin Tran David M. Blei DRL VLM 92 337 0 07 Nov 2015
Embarrassingly Parallel Variational Inference in Nonconjugate Models Willie Neiswanger Chong-Jun Wang Eric Xing 142 16 0 14 Oct 2015
Stochastic gradient variational Bayes for gamma approximating distributions David A. Knowles BDL 132 51 0 04 Sep 2015
Importance Weighted Autoencoders Yuri Burda Roger C. Grosse Ruslan Salakhutdinov BDL 280 1,246 0 01 Sep 2015
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process Amar Shah David A. Knowles Zoubin Ghahramani BDL 28 8 0 26 Jun 2015
Variational Gaussian Copula Inference Shaobo Han X. Liao David B. Dunson Lawrence Carin 90 56 0 19 Jun 2015
Bayesian Dark Knowledge Masashi Sugiyama Vivek Rathod R. Garnett Max Welling BDL UQCV 95 259 0 14 Jun 2015
Stochastic Expectation Propagation Yingzhen Li Jose Miguel Hernandez-Lobato Richard Turner 150 115 0 12 Jun 2015
Variational Dropout and the Local Reparameterization Trick Diederik P. Kingma Tim Salimans Max Welling BDL 229 1,517 0 08 Jun 2015
A trust-region method for stochastic variational inference with applications to streaming data Lucas Theis Matthew D. Hoffman 64 43 0 28 May 2015
Variational Inference with Normalizing Flows Danilo Jimenez Rezende S. Mohamed DRL BDL 322 4,197 0 21 May 2015
Early Stopping is Nonparametric Variational Inference D. Maclaurin David Duvenaud Ryan P. Adams BDL 89 95 0 06 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 281 6,801 0 19 Feb 2015
DRAW: A Recurrent Neural Network For Image Generation Karol Gregor Ivo Danihelka Alex Graves Danilo Jimenez Rezende Daan Wierstra GAN DRL 182 1,962 0 16 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Variational Tempering Stephan Mandt James McInerney Farhan Abrol Rajesh Ranganath David M. Blei BDL 82 56 0 07 Nov 2014
Stochastic Variational Inference for Hidden Markov Models N. Foti Jason Xu Dillon Laird E. Fox BDL 91 93 0 06 Nov 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 131 2,269 0 30 Oct 2014
Smoothed Gradients for Stochastic Variational Inference Stephan Mandt David M. Blei BDL DiffM 86 29 0 13 Jun 2014
Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling P. Zhao Tong Zhang 78 91 0 13 May 2014
Structured Stochastic Variational Inference Matthew D. Hoffman David M. Blei BDL 97 87 0 16 Apr 2014
Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models Y. Gal Mark van der Wilk C. Rasmussen 86 150 0 06 Feb 2014
Stochastic Optimization with Importance Sampling P. Zhao Tong Zhang 115 346 0 13 Jan 2014
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 150 1,167 0 31 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 458 16,922 0 20 Dec 2013