How to Evaluate Uncertainty Estimates in Machine Learning for Regression?

7 June 2021

Papers citing "How to Evaluate Uncertainty Estimates in Machine Learning for Regression?"

5 / 5 papers shown

Title
Probabilistic Reasoning with LLMs for k-anonymity Estimation Jonathan Zheng Sauvik Das Alan Ritter Wei-ping Xu 55 0 0 12 Mar 2025
Peaking into the Black-box: Prediction Intervals Give Insight into Data-driven Quadrotor Model Reliability Jasper J. van Beers Coen de Visser 17 2 0 12 Aug 2024
On the role of Model Uncertainties in Bayesian Optimization Jonathan Foldager Mikkel Jordahn Lars Kai Hansen Michael Riis Andersen 19 4 0 14 Jan 2023
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