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Composite Quantile Regression With XGBoost Using the Novel Arctan
  Pinball Loss

Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss

4 June 2024
Laurens Sluijterman
Frank Kreuwel
Eric Cator
Tom Heskes
    MQ
ArXivPDFHTML

Papers citing "Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss"

3 / 3 papers shown
Title
Quantile Extreme Gradient Boosting for Uncertainty Quantification
Quantile Extreme Gradient Boosting for Uncertainty Quantification
Xiaozhe Yin
Masoud Fallah-Shorshani
R. McConnell
S. Fruin
Yao-Yi Chiang
M. Franklin
UQCV
24
2
0
23 Apr 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
279
9,136
0
06 Jun 2015
1