T-Cal: An optimal test for the calibration of predictive models

3 March 2022

Papers citing "T-Cal: An optimal test for the calibration of predictive models"

8 / 8 papers shown

Title
Reassessing How to Compare and Improve the Calibration of Machine Learning Models M. Chidambaram Rong Ge 66 1 0 06 Jun 2024
Minimum-Risk Recalibration of Classifiers Zeyu Sun Dogyoon Song Alfred Hero 30 5 0 18 May 2023
A Unifying Theory of Distance from Calibration Jarosław Błasiok Parikshit Gopalan Lunjia Hu Preetum Nakkiran 31 32 0 30 Nov 2022
Metrics of calibration for probabilistic predictions Imanol Arrieta Ibarra Paman Gujral Jonathan Tannen M. Tygert Cherie Xu 45 20 0 19 May 2022
Learn then Test: Calibrating Predictive Algorithms to Achieve Risk Control Anastasios Nikolas Angelopoulos Stephen Bates Emmanuel J. Candès Michael I. Jordan Lihua Lei 97 125 0 03 Oct 2021
PAC Prediction Sets Under Covariate Shift Sangdon Park Edgar Dobriban Insup Lee Osbert Bastani 27 42 0 17 Jun 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 270 5,660 0 05 Dec 2016
A simple adaptive estimator of the integrated square of a density Evarist Giné Richard Nickl 62 63 0 06 Mar 2008