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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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A resource-efficient method for repeated HPO and NAS problems


Mar 30, 2021
Giovanni Zappella, David Salinas, Cédric Archambeau


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The Effectiveness of Discretization in Forecasting: An Empirical Study on Neural Time Series Models


May 20, 2020
Stephan Rabanser, Tim Januschowski, Valentin Flunkert, David Salinas, Jan Gasthaus


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Neural forecasting: Introduction and literature overview


Apr 21, 2020
Konstantinos Benidis, Syama Sundar Rangapuram, Valentin Flunkert, Bernie Wang, Danielle Maddix, Caner Turkmen, Jan Gasthaus, Michael Bohlke-Schneider, David Salinas, Lorenzo Stella, Laurent Callot, Tim Januschowski

* 66 pages, 5 figures 

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High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes


Oct 24, 2019
David Salinas, Michael Bohlke-Schneider, Laurent Callot, Roberto Medico, Jan Gasthaus


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