Efficient Automated Deep Learning for Time Series Forecasting

11 May 2022

Papers citing "Efficient Automated Deep Learning for Time Series Forecasting"

4 / 4 papers shown

Title
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting Arindam Jati Vijayabharathi Ekambaram Shaonli Pal Brian Quanz Wesley M. Gifford Pavithra Harsha Stuart Siegel Sumanta Mukherjee Chandra Narayanaswami AI4TS 16 5 0 28 Nov 2022
Workload Forecasting of a Logistic Node Using Bayesian Neural Networks Emin Cagatay Nakilcioglu Anisa Rizvanolli 21 1 0 09 Nov 2022
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization Marius Lindauer Katharina Eggensperger Matthias Feurer André Biedenkapp Difan Deng C. Benjamins Tim Ruhopf René Sass Frank Hutter 85 327 0 20 Sep 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 97 607 0 13 Mar 2020