Concentration of tempered posteriors and of their variational approximations

28 June 2017

Papers citing "Concentration of tempered posteriors and of their variational approximations"

25 / 25 papers shown

Title
High-dimensional Bayesian Tobit regression for censored response with Horseshoe prior Tien Mai 34 0 0 13 May 2025
Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix C. Margossian Lawrence K. Saul 26 1 0 14 Oct 2024
Posterior and variational inference for deep neural networks with heavy-tailed weights Ismael Castillo Paul Egels BDL 55 3 0 05 Jun 2024
$On properties of fractional posterior in generalized reduced-rank regression$ On properties of fractional posterior in generalized reduced-rank regression The Tien Mai 26 1 0 27 Apr 2024
On high-dimensional classification by sparse generalized Bayesian logistic regression The Tien Mai 43 1 0 19 Mar 2024
FedBIAD: Communication-Efficient and Accuracy-Guaranteed Federated Learning with Bayesian Inference-Based Adaptive Dropout Jingjing Xue Min Liu Sheng Sun Yuwei Wang Hui Jiang Xue Jiang 13 7 0 14 Jul 2023
Provable convergence guarantees for black-box variational inference Justin Domke Guillaume Garrigos Robert Mansel Gower 18 18 0 04 Jun 2023
Machine Learning and the Future of Bayesian Computation Steven Winter Trevor Campbell Lizhen Lin Sanvesh Srivastava David B. Dunson TPM 31 4 0 21 Apr 2023
Forward-backward Gaussian variational inference via JKO in the Bures-Wasserstein Space Michael Diao Krishnakumar Balasubramanian Sinho Chewi Adil Salim BDL 13 20 0 10 Apr 2023
Particle Mean Field Variational Bayes Minh-Ngoc Tran Paco Tseng Robert Kohn 24 3 0 24 Mar 2023
Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression D. Nieman Botond Szabó Harry Van Zanten 23 5 0 21 Dec 2022
Personalized Federated Learning via Variational Bayesian Inference Xu Zhang Yinchuan Li Wenpeng Li Kaiyang Guo Yunfeng Shao FedML 36 85 0 16 Jun 2022
AdaAnn: Adaptive Annealing Scheduler for Probability Density Approximation Emma R. Cobian J. Hauenstein Fang Liu Daniele E. Schiavazzi 6 4 0 01 Feb 2022
Approximating Bayes in the 21st Century G. Martin David T. Frazier Christian P. Robert 27 26 0 20 Dec 2021
Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks Marvin Schmitt Paul-Christian Burkner Ullrich Kothe Stefan T. Radev 22 34 0 16 Dec 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 34 196 0 21 Oct 2021
The computational asymptotics of Gaussian variational inference and the Laplace approximation Zuheng Xu Trevor Campbell 19 7 0 13 Apr 2021
A practical tutorial on Variational Bayes Minh-Ngoc Tran Trong-Nghia Nguyen Viet-Hung Dao BDL 8 38 0 01 Mar 2021
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models Imon Banerjee Vinayak A. Rao Harsha Honnappa 13 11 0 13 Jan 2021
Spike and slab variational Bayes for high dimensional logistic regression Kolyan Ray Botond Szabó Gabriel Clara 26 28 0 22 Oct 2020
Statistical Guarantees and Algorithmic Convergence Issues of Variational Boosting B. Guha A. Bhattacharya D. Pati 24 2 0 19 Oct 2020
Consistency of Variational Bayes Inference for Estimation and Model Selection in Mixtures Badr-Eddine Chérief-Abdellatif Pierre Alquier 35 52 0 14 May 2018
On Statistical Optimality of Variational Bayes D. Pati A. Bhattacharya Yun Yang 21 63 0 25 Dec 2017
Frequentist Consistency of Variational Bayes Yixin Wang David M. Blei BDL 18 205 0 09 May 2017
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 137 453 0 03 Dec 2007