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Convergence Rates of Variational Posterior Distributions

7 December 2017

Papers citing "Convergence Rates of Variational Posterior Distributions"

50 / 66 papers shown

Title
Robust and Scalable Variational Bayes Carlos Misael Madrid Padilla Shitao Fan Lizhen Lin 116 0 0 16 Apr 2025
Adaptive sparse variational approximations for Gaussian process regression Dennis Nieman Botond Szabó 103 0 0 04 Apr 2025
Globally Convergent Variational Inference Declan McNamara J. Loper Jeffrey Regier 96 0 0 14 Jan 2025
Variational Bayesian Bow tie Neural Networks with Shrinkage Alisa Sheinkman Sara Wade BDL UQCV 100 0 0 17 Nov 2024
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 92 2 0 14 Oct 2024
A variational Bayes approach to debiased inference for low-dimensional parameters in high-dimensional linear regression Ismaël Castillo Alice L'Huillier Kolyan Ray Luke Travis 65 0 0 18 Jun 2024
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 93 7 0 05 Jun 2024
Posterior and variational inference for deep neural networks with heavy-tailed weights Ismael Castillo Paul Egels BDL 126 4 0 05 Jun 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation Yuda Shao Shan Yu Tianshu Feng 60 1 0 10 Mar 2024
Bayesian Model Selection via Mean-Field Variational Approximation Yangfan Zhang Yun Yang 31 5 0 17 Dec 2023
Variational Gaussian Processes For Linear Inverse Problems Thibault Randrianarisoa Botond Szabó 82 3 0 01 Nov 2023
Variational non-Bayesian inference of the Probability Density Function in the Wiener Algebra U. J. Choi Kyung Soo Rim 21 0 0 01 Nov 2023
Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression Jiaze Qiu 55 3 0 15 Oct 2023
Statistical guarantees for stochastic Metropolis-Hastings S. Bieringer Gregor Kasieczka Maximilian F. Steffen Mathias Trabs 87 1 0 13 Oct 2023
Pointwise uncertainty quantification for sparse variational Gaussian process regression with a Brownian motion prior Luke Travis Kolyan Ray 59 4 0 29 Sep 2023
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression Soumendu Sundar Mukherjee Bodhisattva Sen Subhabrata Sen 82 5 0 28 Sep 2023
On the Convergence of Coordinate Ascent Variational Inference A. Bhattacharya D. Pati Yun Yang 71 13 0 01 Jun 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 77 4 0 21 Apr 2023
Particle Mean Field Variational Bayes Minh-Ngoc Tran Paco Tseng Robert Kohn 77 3 0 24 Mar 2023
Variational Inference: Posterior Threshold Improves Network Clustering Accuracy in Sparse Regimes Xuezhen Li Can M. Le 99 0 0 12 Jan 2023
On the Approximation Accuracy of Gaussian Variational Inference A. Katsevich Philippe Rigollet 87 17 0 05 Jan 2023
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 119 5 0 21 Dec 2022
Scalable and adaptive variational Bayes methods for Hawkes processes Déborah Sulem Vincent Rivoirard Judith Rousseau 68 0 0 01 Dec 2022
Meta-Uncertainty in Bayesian Model Comparison Marvin Schmitt Stefan T. Radev Paul-Christian Bürkner UD 58 10 0 13 Oct 2022
Structured Optimal Variational Inference for Dynamic Latent Space Models Penghui Zhao A. Bhattacharya D. Pati Bani Mallick BDL 73 1 0 29 Sep 2022
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection Kush S. Bhatia Nikki Lijing Kuang Yi-An Ma Yixin Wang 50 7 0 22 Jul 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 77 26 0 20 Dec 2021
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Marvin Schmitt Paul-Christian Bürkner Ullrich Kothe Stefan T. Radev 104 39 0 16 Dec 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 193 206 0 21 Oct 2021
A fast asynchronous MCMC sampler for sparse Bayesian inference Yves F. Atchadé Liwei Wang 46 3 0 14 Aug 2021
Black Box Variational Bayesian Model Averaging Vojtech Kejzlar Shrijita Bhattacharya Mookyong Son T. Maiti BDL 53 3 0 23 Jun 2021
Bayesian Joint Chance Constrained Optimization: Approximations and Statistical Consistency Prateek Jaiswal Harsha Honnappa Vinayak A. Rao 16 2 0 23 Jun 2021
Local convexity of the TAP free energy and AMP convergence for Z2-synchronization Michael Celentano Z. Fan Song Mei FedML 88 23 0 21 Jun 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximation Zuheng Xu Trevor Campbell 105 8 0 13 Apr 2021
A practical tutorial on Variational Bayes Minh-Ngoc Tran Trong-Nghia Nguyen Viet-Hung Dao BDL 79 38 0 01 Mar 2021
Exclusive Topic Modeling Hao Lei Ying Chen 28 1 0 06 Feb 2021
Spike and slab Bayesian sparse principal component analysis Yu-Chien Bo Ning Ning Ning 31 15 0 30 Jan 2021
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models Imon Banerjee Vinayak A. Rao Harsha Honnappa 90 12 0 13 Jan 2021
Bayesian inference in high-dimensional models Sayantan Banerjee I. Castillo S. Ghosal 117 23 0 12 Jan 2021
Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges Shrijita Bhattacharya Zihuan Liu T. Maiti BDL 18 1 0 19 Nov 2020
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee Jincheng Bai Qifan Song Guang Cheng BDL 52 40 0 15 Nov 2020
Statistical optimality and stability of tangent transform algorithms in logit models I. Ghosh A. Bhattacharya D. Pati 37 3 0 25 Oct 2020
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 94 29 0 22 Oct 2020
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting B. Guha A. Bhattacharya D. Pati 76 2 0 19 Oct 2020
Convergence Rates of Empirical Bayes Posterior Distributions: A Variational Perspective Fengshuo Zhang Chao Gao 19 2 0 08 Sep 2020
Non-exponentially weighted aggregation: regret bounds for unbounded loss functions Pierre Alquier 79 19 0 07 Sep 2020
Statistical Foundation of Variational Bayes Neural Networks Shrijita Bhattacharya T. Maiti BDL 39 10 0 29 Jun 2020
Computing Bayes: Bayesian Computation from 1763 to the 21st Century G. Martin David T. Frazier Christian P. Robert 95 17 0 14 Apr 2020
An Equivalence between Bayesian Priors and Penalties in Variational Inference Pierre Wolinski Guillaume Charpiat Yann Ollivier BDL 51 1 0 01 Feb 2020
Variational Bayesian Methods for Stochastically Constrained System Design Problems Prateek Jaiswal Harsha Honnappa Vinayak A. Rao 32 2 0 06 Jan 2020