Using stacking to average Bayesian predictive distributions

6 April 2017

Papers citing "Using stacking to average Bayesian predictive distributions"

24 / 24 papers shown

Title
Bayesian Ensembling: Insights from Online Optimization and Empirical Bayes Daniel Waxman Fernando Llorente Petar M. Djurić 7 0 0 21 May 2025
MODL: Multilearner Online Deep Learning Antonios Valkanas Boris N. Oreshkin Mark J. Coates 54 2 0 28 May 2024
Dynamic Online Ensembles of Basis Expansions Daniel Waxman Petar M. Djurić 45 5 0 02 May 2024
BayesBlend: Easy Model Blending using Pseudo-Bayesian Model Averaging, Stacking and Hierarchical Stacking in Python Nathaniel Haines Conor Goold MoMe 25 1 0 30 Apr 2024
Taweret: a Python package for Bayesian model mixing Kevin Ingles D. Liyanage A. Semposki John C. Yannotty 11 2 0 31 Oct 2023
Automating Model Comparison in Factor Graphs Bart Van Erp Wouter W. L. Nuijten T. V. D. Laar Bert De Vries 18 1 0 09 Jun 2023
Assessing inter-rater reliability with heterogeneous variance components models: Flexible approach accounting for contextual variables Patrícia Martinková František Bartoš M. Brabec 13 8 0 05 Jul 2022
A review of machine learning concepts and methods for addressing challenges in probabilistic hydrological post-processing and forecasting Georgia Papacharalampous Hristos Tyralis AI4CE 29 28 0 17 Jun 2022
Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning M. Ziatdinov Yongtao Liu K. Kelley Rama K Vasudevan Sergei V. Kalinin AI4CE 47 49 0 30 May 2022
Forecast combinations: an over 50-year review Xiaoqian Wang Rob J. Hyndman Feng Li Yanfei Kang AI4TS 38 139 0 09 May 2022
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 75 17 0 22 Feb 2022
Local Prediction Pools O. Oelrich M. Villani Sebastian Ankargren 17 4 0 14 Dec 2021
Fast and Scalable Spike and Slab Variable Selection in High-Dimensional Gaussian Processes Hugh Dance Brooks Paige GP 20 10 0 08 Nov 2021
PAC $^m$ -Bayes: Narrowing the Empirical Risk Gap in the Misspecified Bayesian Regime Warren Morningstar Alexander A. Alemi Joshua V. Dillon 87 16 0 19 Oct 2020
Cross-study learning for generalist and specialist predictions Boyu Ren Prasad Patil Francesca Dominici Giovanni Parmigiani L. Trippa 22 10 0 24 Jul 2020
Boba: Authoring and Visualizing Multiverse Analyses Yang Liu Alex Kale Tim Althoff Jeffrey Heer 33 47 0 10 Jul 2020
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal Posteriors Yuling Yao Aki Vehtari Andrew Gelman 31 60 0 22 Jun 2020
When are Bayesian model probabilities overconfident? O. Oelrich S. Ding Måns Magnusson Aki Vehtari M. Villani 16 17 0 09 Mar 2020
Accurate Uncertainty Estimation and Decomposition in Ensemble Learning J. Liu John Paisley M. Kioumourtzoglou B. Coull UQCV UD PER 30 83 0 11 Nov 2019
Stacking Models for Nearly Optimal Link Prediction in Complex Networks Amir Ghasemian Homa Hosseinmardi Aram Galstyan E. Airoldi A. Clauset 23 128 0 17 Sep 2019
Ensemble Model Patching: A Parameter-Efficient Variational Bayesian Neural Network Oscar Chang Yuling Yao David Williams-King Hod Lipson BDL UQCV 32 8 0 23 May 2019
Projective Inference in High-dimensional Problems: Prediction and Feature Selection Juho Piironen Markus Paasiniemi Aki Vehtari 30 94 0 04 Oct 2018
Bayesian comparison of latent variable models: Conditional vs marginal likelihoods Edgar C. Merkle Daniel Furr S. Rabe-Hesketh 12 71 0 13 Feb 2018
Bayesian computing with INLA: new features Thiago G. Martins Daniel P. Simpson Till Mossakowski H. Rue BDL 134 556 0 01 Oct 2012