Papers citing 'Gaussian variational approximation with sparse precision matrices'

Title
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Yibin Wang Haizhou Shi Ligong Han Dimitris N. Metaxas Hao Wang BDL UQLM 710 22 0 28 Jan 2025
Batch, match, and patch: low-rank approximations for score-based variational inferenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Chirag Modi Diana Cai Lawrence K. Saul BDL 225 5 0 29 Oct 2024
Skew-symmetric approximations of posterior distributions Francesco Pozza Daniele Durante Botond Szabó 206 4 0 21 Sep 2024
Implementation and Analysis of GPU Algorithms for Vecchia Approximation Zachary James Joseph Guinness 190 1 0 03 Jul 2024
Recursive variational Gaussian approximation with the Whittle likelihood for linear non-Gaussian state space models Bao Anh Vu David Gunawan Andrew Zammit-Mangion 167 1 0 23 Jun 2024
Provably Scalable Black-Box Variational Inference with Structured Variational FamiliesInternational Conference on Machine Learning (ICML), 2024 Joohwan Ko Kyurae Kim W. Kim Jacob R. Gardner BDL 491 6 0 19 Jan 2024
Partially factorized variational inference for high-dimensional mixed models Max Goplerud O. Papaspiliopoulos Giacomo Zanella 108 11 0 20 Dec 2023
Cutting Feedback in Misspecified Copula ModelsJournal of the American Statistical Association (JASA), 2023 Michael Stanley Smith Weichang Yu David J. Nott David T. Frazier 285 2 0 05 Oct 2023
Stochastic Variational Inference for GARCH ModelsStatistics and computing (Stat. Comput.), 2023 Hanwen Xuan Luca Maestrini F. Chen Clara Grazian 258 2 0 29 Aug 2023
Provable convergence guarantees for black-box variational inferenceNeural Information Processing Systems (NeurIPS), 2023 Justin Domke Guillaume Garrigos Robert Mansel Gower 285 25 0 04 Jun 2023
R-VGAL: A Sequential Variational Bayes Algorithm for Generalised Linear Mixed ModelsStatistics and computing (Stat. Comput.), 2023 Bao Anh Vu David Gunawan A. Zammit‐Mangion DRL 257 1 0 01 Jun 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient DescentNeural Information Processing Systems (NeurIPS), 2023 Tianle Liu Promit Ghosal Krishnakumar Balasubramanian Natesh S. Pillai 448 14 0 23 May 2023
Structured variational approximations with skew normal decomposable graphical modelsJournal of Computational And Graphical Statistics (JCGS), 2023 Roberto Salomone Xue Yu David J. Nott Robert Kohn 174 4 0 07 Feb 2023
Federated Variational Inference Methods for Structured Latent Variable Models Conor Hassan Roberto Salomone Kerrie Mengersen BDL FedML 286 5 0 07 Feb 2023
Moment Propagation J. Ormerod Weichang Yu 189 0 0 21 Nov 2022
Efficient variational approximations for state space models Rubén Loaiza-Maya D. Nibbering 167 1 0 20 Oct 2022
Fast Estimation of Bayesian State Space Models Using Amortized Simulation-Based Inference R. Khabibullin S. Seleznev 214 1 0 13 Oct 2022
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning M. Magris M. Shabani Alexandros Iosifidis BDL 233 4 0 23 May 2022
Variational Bayesian Approximation of Inverse Problems using Sparse Precision MatricesComputer Methods in Applied Mechanics and Engineering (CMAME), 2021 Jan Povala Ieva Kazlauskaite Eky Febrianto F. Cirak Mark Girolami 283 29 0 22 Oct 2021
Analytic natural gradient updates for Cholesky factor in Gaussian variational approximation Linda S. L. Tan 840 17 0 01 Sep 2021
Flexible Variational Bayes based on a Copula of a MixtureJournal of Computational And Graphical Statistics (JCGS), 2021 David Gunawan Robert Kohn David J. Nott 327 13 0 28 Jun 2021
A practical tutorial on Variational Bayes Minh-Ngoc Tran Trong-Nghia Nguyen Viet-Hung Dao BDL 184 49 0 01 Mar 2021
Variational Approximation of Factor Stochastic Volatility Models David Gunawan Robert Kohn David J. Nott 251 7 0 13 Oct 2020
The k-tied Normal Distribution: A Compact Parameterization of Gaussian Mean Field Posteriors in Bayesian Neural NetworksInternational Conference on Machine Learning (ICML), 2020 J. Swiatkowski Kevin Roth Bastiaan S. Veeling Linh-Tam Tran Joshua V. Dillon Jasper Snoek Stephan Mandt Tim Salimans Rodolphe Jenatton Sebastian Nowozin BDL 263 50 0 07 Feb 2020
Updating Variational Bayes: Fast sequential posterior inferenceStatistics and computing (Stat. Comput.), 2019 Nathaniel Tomasetti Catherine S. Forbes Anastasios Panagiotelis 133 9 0 01 Aug 2019
Provable Gradient Variance Guarantees for Black-Box Variational InferenceNeural Information Processing Systems (NeurIPS), 2019 Justin Domke DRL 158 23 0 19 Jun 2019
Deep Compositional Spatial ModelsJournal of the American Statistical Association (JASA), 2019 A. Zammit‐Mangion T. L. J. Ng Quan Vu Maurizio Filippone 160 63 0 06 Jun 2019
Conditionally structured variational Gaussian approximation with importance weights Linda S. L. Tan Aishwarya Bhaskaran David J. Nott 216 13 0 21 Apr 2019
High-dimensional copula variational approximation through transformation M. Smith Rubén Loaiza-Maya David J. Nott 234 37 0 16 Apr 2019
SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient Aaron Mishkin Frederik Kunstner Didrik Nielsen Mark Schmidt Mohammad Emtiyaz Khan BDL UQCV 180 64 0 11 Nov 2018
Bayesian variational inference for exponential random graph models Linda S. L. Tan Nial Friel 282 20 0 10 Nov 2018
Variance reduction properties of the reparameterization trickInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2018 Ming Xu M. Quiroz Robert Kohn Scott A. Sisson AAML 361 74 0 27 Sep 2018
Bayesian Deep Net GLM and GLMM Minh-Ngoc Tran Nghia Nguyen David J. Nott Robert Kohn BDL 355 77 0 25 May 2018
Gaussian variational approximation for high-dimensional state space models M. Quiroz David J. Nott Robert Kohn 273 42 0 24 Jan 2018
Variational Bayes Estimation of Discrete-Margined Copula Models with Application to Time SeriesJournal of Computational And Graphical Statistics (JCGS), 2017 Rubén Loaiza-Maya M. Smith AI4TS 137 14 0 26 Dec 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 449 213 0 27 Mar 2017
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 1.7K 5,297 0 04 Jan 2016