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David Salinas

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Deep Non-Parametric Time Series Forecaster

Dec 22, 2023
Syama Sundar Rangapuram, Jan Gasthaus, Lorenzo Stella, Valentin Flunkert, David Salinas, Yuyang Wang, Tim Januschowski

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TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications

Nov 06, 2023
David Salinas, Nick Erickson

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Obeying the Order: Introducing Ordered Transfer Hyperparameter Optimisation

Jun 29, 2023
Sigrid Passano Hellan, Huibin Shen, François-Xavier Aubet, David Salinas, Aaron Klein

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Optimizing Hyperparameters with Conformal Quantile Regression

May 05, 2023
David Salinas, Jacek Golebiowski, Aaron Klein, Matthias Seeger, Cedric Archambeau

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Criteria for Classifying Forecasting Methods

Dec 07, 2022
Tim Januschowski, Jan Gasthaus, Yuyang Wang, David Salinas, Valentin Flunkert, Michael Bohlke-Schneider, Laurent Callot

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Multi-Objective Model Selection for Time Series Forecasting

Feb 17, 2022
Oliver Borchert, David Salinas, Valentin Flunkert, Tim Januschowski, Stephan Günnemann

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Meta-Forecasting by combining Global Deep Representations with Local Adaptation

Nov 12, 2021
Riccardo Grazzi, Valentin Flunkert, David Salinas, Tim Januschowski, Matthias Seeger, Cedric Archambeau

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Meta-Forecasting by combining Global DeepRepresentations with Local Adaptation

Nov 05, 2021
Riccardo Grazzi, Valentin Flunkert, David Salinas, Tim Januschowski, Matthias Seeger, Cedric Archambeau

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Multi-objective Asynchronous Successive Halving

Jun 23, 2021
Robin Schmucker, Michele Donini, Muhammad Bilal Zafar, David Salinas, Cédric Archambeau

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A multi-objective perspective on jointly tuning hardware and hyperparameters

Jun 10, 2021
David Salinas, Valerio Perrone, Olivier Cruchant, Cedric Archambeau

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