A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative
Models

A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models

9 October 2023

Sebastian G. Gruber

Florian Buettner

Papers citing "A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models"

5 / 5 papers shown

Title
Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition Sebastian G. Gruber Florian Buettner PER UQCV UD 202 11 0 21 Oct 2022
Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Ramé Matthieu Kirchmeyer Thibaud Rahier A. Rakotomamonjy Patrick Gallinari Matthieu Cord OOD 199 128 0 19 May 2022
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 255 4,781 0 24 Feb 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,661 0 05 Dec 2016
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 107 324 0 09 Feb 2016