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fastkqr: A Fast Algorithm for Kernel Quantile Regression

fastkqr: A Fast Algorithm for Kernel Quantile Regression

10 August 2024
Qian Tang
Yuwen Gu
Boxiang Wang
ArXiv (abs)PDFHTML

Papers citing "fastkqr: A Fast Algorithm for Kernel Quantile Regression"

5 / 5 papers shown
Title
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU
  Neural Networks
Estimation of Non-Crossing Quantile Regression Process with Deep ReQU Neural Networks
Guohao Shen
Yuling Jiao
Yuanyuan Lin
J. Horowitz
Jian Huang
44
4
0
21 Jul 2022
Deep Non-Crossing Quantiles through the Partial Derivative
Deep Non-Crossing Quantiles through the Partial Derivative
Axel Brando
J. Gimeno
Jose A. Rodríguez-Serrano
Jordi Vitrià
141
13
0
30 Jan 2022
Flexible Model Aggregation for Quantile Regression
Flexible Model Aggregation for Quantile Regression
Rasool Fakoor
Tae-Soo Kim
Jonas W. Mueller
Alexander J. Smola
Robert Tibshirani
62
21
0
26 Feb 2021
Less is More: Nyström Computational Regularization
Less is More: Nyström Computational Regularization
Alessandro Rudi
Raffaello Camoriano
Lorenzo Rosasco
66
277
0
16 Jul 2015
Quantile and Probability Curves Without Crossing
Quantile and Probability Curves Without Crossing
Victor Chernozhukov
Iván Fernández-Val
Alfred Galichon
617
522
0
27 Apr 2007
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