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Flexible Model Aggregation for Quantile Regression

Flexible Model Aggregation for Quantile Regression

26 February 2021
Rasool Fakoor
Tae-Soo Kim
Jonas W. Mueller
Alexander J. Smola
R. Tibshirani
ArXivPDFHTML

Papers citing "Flexible Model Aggregation for Quantile Regression"

13 / 13 papers shown
Title
Uncertainty separation via ensemble quantile regression
Uncertainty separation via ensemble quantile regression
Navid Ansari
Hans-Peter Seidel
Vahid Babaei
UD
UQCV
74
0
0
18 Dec 2024
fastkqr: A Fast Algorithm for Kernel Quantile Regression
fastkqr: A Fast Algorithm for Kernel Quantile Regression
Qian Tang
Yuwen Gu
Boxiang Wang
24
1
0
10 Aug 2024
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of
  Quantile Crossing
An Efficient Multi Quantile Regression Network with Ad Hoc Prevention of Quantile Crossing
J. Decke
Arne Jenss
Bernhard Sick
Christian Gruhl
19
1
0
31 May 2024
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand
Any-Quantile Probabilistic Forecasting of Short-Term Electricity Demand
Slawek Smyl
Boris N. Oreshkin
Paweł Pełka
Grzegorz Dudek
AI4TS
37
0
0
26 Apr 2024
On-line conformalized neural networks ensembles for probabilistic
  forecasting of day-ahead electricity prices
On-line conformalized neural networks ensembles for probabilistic forecasting of day-ahead electricity prices
A. Brusaferri
A. Ballarino
Luigi Grossi
F. Laurini
AI4TS
26
3
0
03 Apr 2024
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
UTOPIA: Universally Trainable Optimal Prediction Intervals Aggregation
Jianqing Fan
Jiawei Ge
Debarghya Mukherjee
AI4TS
23
6
0
28 Jun 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network
  Regression
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression
V. Dheur
Souhaib Ben Taieb
BDL
33
13
0
05 Jun 2023
Factor Model of Mixtures
Factor Model of Mixtures
Cheng Peng
S. Uryasev
8
1
0
31 Jan 2023
CROWDLAB: Supervised learning to infer consensus labels and quality
  scores for data with multiple annotators
CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators
Hui Wen Goh
Ulyana Tkachenko
Jonas W. Mueller
19
10
0
13 Oct 2022
Quantitative Universal Approximation Bounds for Deep Belief Networks
Quantitative Universal Approximation Bounds for Deep Belief Networks
J. Sieber
Johann Gehringer
30
1
0
18 Aug 2022
Forecast combinations: an over 50-year review
Forecast combinations: an over 50-year review
Xiaoqian Wang
Rob J. Hyndman
Feng Li
Yanfei Kang
AI4TS
30
139
0
09 May 2022
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
97
607
0
13 Mar 2020
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
276
5,660
0
05 Dec 2016
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