Frequentist Consistency of Variational Bayes

9 May 2017

Papers citing "Frequentist Consistency of Variational Bayes"

31 / 31 papers shown

Title
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 31 1 0 14 Oct 2024
A Primer on Variational Inference for Physics-Informed Deep Generative Modelling Alex Glyn-Davies Arnaud Vadeboncoeur O. Deniz Akyildiz Ieva Kazlauskaite Mark Girolami PINN 70 0 0 10 Sep 2024
posteriordb: Testing, Benchmarking and Developing Bayesian Inference Algorithms Måns Magnusson Jakob Torgander Paul-Christian Bürkner Lu Zhang Bob Carpenter Aki Vehtari 42 6 0 06 Jul 2024
Simplifying Deep Temporal Difference Learning Matteo Gallici Mattie Fellows Benjamin Ellis B. Pou Ivan Masmitja Jakob Foerster Mario Martin OffRL 62 15 0 05 Jul 2024
Variational Inference for Uncertainty Quantification: an Analysis of Trade-offs C. Margossian Loucas Pillaud-Vivien Lawrence K. Saul UD 71 2 0 20 Mar 2024
Target Detection on Hyperspectral Images Using MCMC and VI Trained Bayesian Neural Networks Daniel Ries Jason Adams J. Zollweg BDL 11 1 0 11 Aug 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 45 4 0 21 Apr 2023
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects Thanh Vinh Vo Arnab Bhattacharyya Young Lee Tze-Yun Leong FedML 21 19 0 01 Jan 2023
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 28 5 0 21 Dec 2022
On Representations of Mean-Field Variational Inference Soumyadip Ghosh Ying-Ling Lu T. Nowicki Edith Zhang 16 1 0 20 Oct 2022
Generalization Gap in Amortized Inference Mingtian Zhang Peter Hayes David Barber BDL CML DRL 45 14 0 23 May 2022
On the inability of Gaussian process regression to optimally learn compositional functions M. Giordano Kolyan Ray Johannes Schmidt-Hieber 39 12 0 16 May 2022
Bayesian Nonlinear Models for Repeated Measurement Data: An Overview, Implementation, and Applications Se Yoon Lee 19 18 0 28 Jan 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 39 26 0 20 Dec 2021
Variational Bayesian Approximation of Inverse Problems using Sparse Precision Matrices Jan Povala Ieva Kazlauskaite Eky Febrianto F. Cirak Mark Girolami 32 22 0 22 Oct 2021
Desiderata for Representation Learning: A Causal Perspective Yixin Wang Michael I. Jordan CML 32 80 0 08 Sep 2021
Black Box Variational Bayesian Model Averaging Vojtech Kejzlar Shrijita Bhattacharya Mookyong Son T. Maiti BDL 24 3 0 23 Jun 2021
Variational Bayes in State Space Models: Inferential and Predictive Accuracy David T. Frazier Rubén Loaiza-Maya G. Martin 11 13 0 23 Jun 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximation Zuheng Xu Trevor Campbell 19 7 0 13 Apr 2021
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models Imon Banerjee Vinayak A. Rao Harsha Honnappa 21 11 0 13 Jan 2021
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 40 28 0 22 Oct 2020
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting B. Guha A. Bhattacharya D. Pati 26 2 0 19 Oct 2020
Dynamics of coordinate ascent variational inference: A case study in 2D Ising models Sean Plummer D. Pati A. Bhattacharya 38 18 0 13 Jul 2020
Variational Inference with Vine Copulas: An efficient Approach for Bayesian Computer Model Calibration Vojtech Kejzlar T. Maiti 16 6 0 28 Mar 2020
An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm Christopher DeCarolis Mukul Ram Seyed-Alireza Esmaeili Yu-Xiang Wang Furong Huang FedML 11 12 0 25 May 2018
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures Badr-Eddine Chérief-Abdellatif Pierre Alquier 35 52 0 14 May 2018
Gaussian variational approximation for high-dimensional state space models M. Quiroz David J. Nott Robert Kohn 24 40 0 24 Jan 2018
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 38 684 0 15 Nov 2017
Concentration of tempered posteriors and of their variational approximations Pierre Alquier James Ridgway 27 121 0 28 Jun 2017
Asymptotic normality of maximum likelihood and its variational approximation for stochastic blockmodels Peter J. Bickel David S. Choi Xiangyu Chang Hai Zhang 71 220 0 04 Jul 2012
A Bernstein-Von Mises Theorem for discrete probability distributions S. Boucheron Elisabeth Gassiat 113 49 0 14 Jul 2008