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Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting
25 May 2023
Hilaf Hasson
Danielle C. Maddix
Yuyang Wang
Gaurav Gupta
Youngsuk Park
UQCV
AI4TS
FedML
Re-assign community
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Papers citing
"Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting"
3 / 3 papers shown
Title
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning
J. Gastinger
S. Nicolas
Dusica Stepic
Mischa Schmidt
A. Schulke
AI4TS
56
16
0
23 Apr 2021
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
84
607
0
13 Mar 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
270
5,660
0
05 Dec 2016
1