Variational Boosting: Iteratively Refining Posterior Approximations

20 November 2016

Papers citing "Variational Boosting: Iteratively Refining Posterior Approximations"

20 / 20 papers shown

Title
Stacking Variational Bayesian Monte Carlo Francesco Silvestrin Chengkun Li Luigi Acerbi BDL 42 0 0 07 Apr 2025
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 52 1 0 30 Oct 2024
Batch, match, and patch: low-rank approximations for score-based variational inference Chirag Modi Diana Cai Lawrence K. Saul BDL 39 1 0 29 Oct 2024
A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models O. Arenz Philipp Dahlinger Zihan Ye Michael Volpp Gerhard Neumann 39 15 0 23 Sep 2022
MixFlows: principled variational inference via mixed flows Zuheng Xu Na Chen Trevor Campbell 55 8 0 16 May 2022
Cyclical Variational Bayes Monte Carlo for Efficient Multi-Modal Posterior Distributions Evaluation F. Igea Alice Cicirello 19 8 0 23 Feb 2022
Statistical Perspectives on Reliability of Artificial Intelligence Systems Yili Hong J. Lian Li Xu Jie Min Yueyao Wang Laura J. Freeman Xinwei Deng 25 30 0 09 Nov 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximation Zuheng Xu Trevor Campbell 19 7 0 13 Apr 2021
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting B. Guha A. Bhattacharya D. Pati 26 2 0 19 Oct 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 29 60 0 22 Jun 2020
Variational Bayesian Monte Carlo with Noisy Likelihoods Luigi Acerbi 22 40 0 15 Jun 2020
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 29 8 0 23 May 2019
Good Initializations of Variational Bayes for Deep Models Simone Rossi Pietro Michiardi Maurizio Filippone BDL 17 21 0 18 Oct 2018
Boosting Black Box Variational Inference Francesco Locatello Gideon Dresdner Rajiv Khanna Isabel Valera Gunnar Rätsch 16 31 0 06 Jun 2018
Semi-Implicit Variational Inference Mingzhang Yin Mingyuan Zhou BDL 27 119 0 28 May 2018
Approximating multivariate posterior distribution functions from Monte Carlo samples for sequential Bayesian inference B. Thijssen L. Wessels 35 8 0 12 Dec 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Reinterpreting Importance-Weighted Autoencoders Chris Cremer Q. Morris D. Duvenaud BDL FAtt 11 94 0 10 Apr 2017
Boosting Variational Inference Fangjian Guo Xiangyu Wang Kai Fan Tamara Broderick David B. Dunson BDL 24 75 0 17 Nov 2016
Variational Particle Approximations A. Saeedi Tejas D. Kulkarni Vikash K. Mansinghka S. Gershman 82 60 0 24 Feb 2014