Posterior Refinement Improves Sample Efficiency in Bayesian Neural
Networks

Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks

20 May 2022

Agustinus Kristiadi

Runa Eschenhagen

Papers citing "Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks"

13 / 13 papers shown

Title
On Local Posterior Structure in Deep Ensembles Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 64 0 0 17 Mar 2025
Flat Posterior Does Matter For Bayesian Model Averaging Sungjun Lim Jeyoon Yeom Sooyon Kim Hoyoon Byun Jinho Kang Yohan Jung Jiyoung Jung Kyungwoo Song AAML BDL 48 0 0 21 Jun 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune Mengen Luo Chi Xu E. Kuruoglu FedML 31 0 0 25 Feb 2024
A Sober Look at LLMs for Material Discovery: Are They Actually Good for Bayesian Optimization Over Molecules? Agustinus Kristiadi Felix Strieth-Kalthoff Marta Skreta Pascal Poupart Alán Aspuru-Guzik Geoff Pleiss 30 21 0 07 Feb 2024
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks Ahmad Rashid Serena Hacker Guojun Zhang Agustinus Kristiadi Pascal Poupart OODD 36 0 0 07 Nov 2023
Implicit Variational Inference for High-Dimensional Posteriors Anshuk Uppal Kristoffer Stensbo-Smidt Wouter Boomsma J. Frellsen BDL 26 1 0 10 Oct 2023
On the Disconnect Between Theory and Practice of Neural Networks: Limits of the NTK Perspective Jonathan Wenger Felix Dangel Agustinus Kristiadi 36 0 0 29 Sep 2023
Collapsed Inference for Bayesian Deep Learning Zhe Zeng Guy Van den Broeck FedML BDL UQCV 31 8 0 16 Jun 2023
Riemannian Laplace approximations for Bayesian neural networks Federico Bergamin Pablo Moreno-Muñoz Søren Hauberg Georgios Arvanitidis BDL 35 6 0 12 Jun 2023
Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization Agustinus Kristiadi Alexander Immer Runa Eschenhagen Vincent Fortuin BDL UQCV 20 8 0 17 Apr 2023
Bayesian Model Selection, the Marginal Likelihood, and Generalization Sanae Lotfi Pavel Izmailov Gregory W. Benton Micah Goldblum A. Wilson UQCV BDL 52 56 0 23 Feb 2022
Fast Predictive Uncertainty for Classification with Bayesian Deep Networks Marius Hobbhahn Agustinus Kristiadi Philipp Hennig BDL UQCV 76 31 0 02 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016