Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using
Multi-Headed Auxiliary Networks

Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks

21 June 2020

Finale Doshi-Velez

Papers citing "Uncertainty-Aware (UNA) Bases for Deep Bayesian Regression Using Multi-Headed Auxiliary Networks"

7 / 7 papers shown

Title
Variational Bayesian Last Layers James Harrison John Willes Jasper Snoek BDL UQCV 63 23 0 17 Apr 2024
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 40 13 0 01 Feb 2023
Towards a Unified Framework for Uncertainty-aware Nonlinear Variable Selection with Theoretical Guarantees Wenying Deng Beau Coker Rajarshi Mukherjee J. Liu B. Coull 17 2 0 15 Apr 2022
An Overview of Uncertainty Quantification Methods for Infinite Neural Networks Florian Juengermann Maxime Laasri Marius Merkle BDL 11 0 0 13 Jan 2022
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 89 271 0 24 Feb 2014