Provable Smoothness Guarantees for Black-Box Variational Inference

24 January 2019

Papers citing "Provable Smoothness Guarantees for Black-Box Variational Inference"

25 / 25 papers shown

Title
Demystifying SGD with Doubly Stochastic Gradients Kyurae Kim Joohwan Ko Yian Ma Jacob R. Gardner 83 1 0 03 Jun 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space Yiheng Jiang Sinho Chewi Aram-Alexandre Pooladian 114 8 0 05 Dec 2023
Provable Gradient Variance Guarantees for Black-Box Variational Inference Justin Domke DRL 42 21 0 19 Jun 2019
Variance reduction properties of the reparameterization trick Ming Xu M. Quiroz Robert Kohn Scott A. Sisson AAML 66 67 0 27 Sep 2018
Quasi-Monte Carlo Variational Inference Alexander K. Buchholz F. Wenzel Stephan Mandt BDL 69 58 0 04 Jul 2018
Yes, but Did It Work?: Evaluating Variational Inference Yuling Yao Aki Vehtari Daniel P. Simpson Andrew Gelman 52 136 0 07 Feb 2018
Asynchronous Stochastic Variational Inference S. Mohamad A. Bouchachia M. S. Mouchaweh 35 8 0 12 Jan 2018
Boosting Variational Inference: an Optimization Perspective Francesco Locatello Rajiv Khanna Joydeep Ghosh Gunnar Rätsch 51 36 0 05 Aug 2017
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 66 124 0 28 Jun 2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization Jeffrey Regier Michael I. Jordan Jon D. McAuliffe 34 27 0 07 Jun 2017
Conjugate-Computation Variational Inference : Converting Variational Inference in Non-Conjugate Models to Inferences in Conjugate Models Mohammad Emtiyaz Khan Wu Lin BDL 47 135 0 13 Mar 2017
Boosting Variational Inference Fangjian Guo Xiangyu Wang Kai Fan Tamara Broderick David B. Dunson BDL 108 76 0 17 Nov 2016
Optimization Methods for Large-Scale Machine Learning Léon Bottou Frank E. Curtis J. Nocedal 233 3,206 0 15 Jun 2016
Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization Tianbao Yang Qihang Lin Zhe Li 59 122 0 12 Apr 2016
Automatic Differentiation Variational Inference A. Kucukelbir Dustin Tran Rajesh Ranganath Andrew Gelman David M. Blei 106 717 0 02 Mar 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 264 4,787 0 04 Jan 2016
Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions Mohammad Emtiyaz Khan Reza Babanezhad Wu Lin Mark Schmidt Masashi Sugiyama 51 49 0 31 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 46 46 0 09 Sep 2015
Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition Rong Ge Furong Huang Chi Jin Yang Yuan 135 1,058 0 06 Mar 2015
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 134 1,166 0 31 Dec 2013
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 450 16,940 0 20 Dec 2013
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 120 1,549 0 22 Sep 2013
Automated Variational Inference in Probabilistic Programming David Wingate T. Weber BDL TPM 85 138 0 07 Jan 2013
Fixed-Form Variational Posterior Approximation through Stochastic Linear Regression Tim Salimans David A. Knowles 110 252 0 28 Jun 2012
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization Alexander Rakhlin Ohad Shamir Karthik Sridharan 164 768 0 26 Sep 2011