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Distribution-Free Model-Agnostic Regression Calibration via
  Nonparametric Methods

Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods

20 May 2023
Shang Liu
Zhongze Cai
Xiaocheng Li
ArXivPDFHTML

Papers citing "Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods"

4 / 4 papers shown
Title
When No-Rejection Learning is Consistent for Regression with Rejection
When No-Rejection Learning is Consistent for Regression with Rejection
Xiaocheng Li
Shang Liu
Chunlin Sun
Hanrui Wang
43
0
0
06 Jul 2023
Understanding Uncertainty Sampling
Understanding Uncertainty Sampling
Shang Liu
Xiaocheng Li
UQCV
20
6
0
06 Jul 2023
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1