Stochastic Variational Inference

29 June 2012

Matt Hoffman

Papers citing "Stochastic Variational Inference"

35 / 35 papers shown

Title
JaxSGMC: Modular stochastic gradient MCMC in JAX Stephan Thaler Paul Fuchs Ana Cukarska Julija Zavadlav BDL 111 2 0 16 May 2025
Quantization-Free Autoregressive Action Transformer Ziyad Sheebaelhamd Michael Tschannen Michael Muehlebach Claire Vernade 68 0 0 18 Mar 2025
Shared Stochastic Gaussian Process Latent Variable Models: A Multi-modal Generative Model for Quasar Spectra Vidhi Lalchand Anna-Christina Eilers 85 0 0 27 Feb 2025
The Odyssey of the Fittest: Can Agents Survive and Still Be Good? Dylan Waldner Risto Miikkulainen 74 0 0 08 Feb 2025
Predictive Coresets Bernardo Flores 68 0 0 08 Feb 2025
Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals Alexander Mielke Jia Jie Zhu 123 1 0 28 Jan 2025
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 72 1 0 30 Oct 2024
Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors Massimo Bilancia Samuele Magro 55 0 0 29 Oct 2024
Gradient-free variational learning with conditional mixture networks Conor Heins Hao Wu Dimitrije Marković Alexander Tschantz Jeff Beck Christopher L. Buckley BDL 59 2 0 29 Aug 2024
Variational Stochastic Gradient Descent for Deep Neural Networks Haotian Chen Anna Kuzina Babak Esmaeili Jakub M. Tomczak 59 0 0 09 Apr 2024
Variational Entropy Search for Adjusting Expected Improvement Nuojin Cheng Stephen Becker 39 1 0 17 Feb 2024
Improved off-policy training of diffusion samplers Marcin Sendera Minsu Kim Sarthak Mittal Pablo Lemos Luca Scimeca Jarrid Rector-Brooks Alexandre Adam Yoshua Bengio Nikolay Malkin OffRL 81 20 0 07 Feb 2024
Demystifying Variational Diffusion Models Fabio De Sousa Ribeiro Ben Glocker DiffM 41 0 0 11 Jan 2024
Interacting Particle Langevin Algorithm for Maximum Marginal Likelihood Estimation Ö. Deniz Akyildiz F. R. Crucinio Mark Girolami Tim Johnston Sotirios Sabanis 55 13 0 23 Mar 2023
Gaussian Pre-Activations in Neural Networks: Myth or Reality? Pierre Wolinski Julyan Arbel AI4CE 118 8 0 24 May 2022
Parallel Streaming Wasserstein Barycenters Matthew Staib Sebastian Claici Justin Solomon Stefanie Jegelka 27 89 0 21 May 2017
Variational Inference for Sparse and Undirected Models John Ingraham D. Marks 47 8 0 11 Feb 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 75 70 0 31 Dec 2015
Inferring Parameters and Structure of Latent Variable Models by Variational Bayes H. Attias CML BDL 40 666 0 23 Jan 2013
Variational Approximations between Mean Field Theory and the Junction Tree Algorithm W. Wiegerinck 58 102 0 16 Jan 2013
Expectation-Propogation for the Generative Aspect Model T. Minka John D. Lafferty 123 573 0 12 Dec 2012
Nested Hierarchical Dirichlet Processes John Paisley Chong-Jun Wang David M. Blei Michael I. Jordan BDL 47 234 0 25 Oct 2012
A Generalized Mean Field Algorithm for Variational Inference in Exponential Families Eric Xing Michael I. Jordan Stuart J. Russell 54 253 0 19 Oct 2012
Variational Inference in Nonconjugate Models Chong-Jun Wang David M. Blei BDL 61 227 0 19 Sep 2012
Sparse Stochastic Inference for Latent Dirichlet allocation David M. Mimno Matt Hoffman David M. Blei BDL 36 158 0 27 Jun 2012
Variational Bayesian Inference with Stochastic Search John Paisley David M. Blei Michael I. Jordan BDL 64 496 0 27 Jun 2012
Nonparametric variational inference S. Gershman Matt Hoffman David M. Blei BDL 79 153 0 18 Jun 2012
Continuous Time Dynamic Topic Models Chong-Jun Wang David M. Blei David Heckerman 52 511 0 13 Jun 2012
On Smoothing and Inference for Topic Models A. Asuncion Max Welling Padhraic Smyth Yee Whye Teh BDL 48 601 0 09 May 2012
A Tutorial on Bayesian Nonparametric Models S. Gershman David M. Blei 77 594 0 14 Jun 2011
The Discrete Infinite Logistic Normal Distribution John Paisley Chong-Jun Wang David M. Blei 79 87 0 24 Mar 2011
Bayesian Nonparametric Inference of Switching Linear Dynamical Systems E. Fox Erik B. Sudderth Michael I. Jordan A. Willsky 57 244 0 19 Mar 2010
Online Learning for Matrix Factorization and Sparse Coding Julien Mairal Francis R. Bach Jean Ponce Guillermo Sapiro 122 2,614 0 01 Aug 2009
A sticky HDP-HMM with application to speaker diarization E. Fox Erik B. Sudderth Michael I. Jordan A. Willsky 68 380 0 15 May 2009
Online EM Algorithm for Latent Data Models Olivier Cappé Eric Moulines 95 479 0 27 Dec 2007