Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors

22 June 2020

Papers citing "Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors"

11 / 11 papers shown

Title
Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift Yu Zhu Zehang Richard Li OOD CML 24 0 0 04 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey L. J. L. Lopez Shaza Elsharief Dhiyaa Al Jorf Firas Darwish Congbo Ma Farah E. Shamout 52 0 0 04 May 2025
Improving the evaluation of samplers on multi-modal targets Louis Grenioux Maxence Noble Marylou Gabrié 68 0 0 11 Apr 2025
Stacking Variational Bayesian Monte Carlo Francesco Silvestrin Chengkun Li Luigi Acerbi BDL 32 0 0 07 Apr 2025
Symmetry-driven embedding of networks in hyperbolic space Simon Lizotte Jean-Gabriel Young Antoine Allard 22 1 0 15 Jun 2024
Bayesian Active Learning with Fully Bayesian Gaussian Processes Christoffer Riis Francisco Antunes F. B. Hüttel C. L. Azevedo Francisco Câmara Pereira GP 9 22 0 20 May 2022
Transformation Models for Flexible Posteriors in Variational Bayes Sefan Hörtling Daniel Dold Oliver Durr Beate Sick 11 0 0 01 Jun 2021
Coupling and Convergence for Hamiltonian Monte Carlo Nawaf Bou-Rabee A. Eberle Raphael Zimmer 73 135 0 01 May 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015
Variable transformation to obtain geometric ergodicity in the random-walk Metropolis algorithm Leif Johnson C. Geyer 66 51 0 27 Feb 2013