77 citations · 150 across the 11 of their papers we have counts for
3 papers · 2 filters
Meta-Forecasting by combining Global Deep Representations with Local Adaptation
Riccardo Grazzi, Valentin Flunkert, David Salinas +3
While classical time series forecasting considers individual time series in isolation, recent advances based on deep learning showed that jointly learning from a large pool of rela…
A multi-objective perspective on jointly tuning hardware and hyperparameters
David Salinas, Valerio Perrone, Olivier Cruchant +1
In addition to the best model architecture and hyperparameters, a full AutoML solution requires selecting appropriate hardware automatically. This can be framed as a multi-objectiv…
A resource-efficient method for repeated HPO and NAS problems
Giovanni Zappella, David Salinas, Cédric Archambeau
In this work we consider the problem of repeated hyperparameter and neural architecture search (HNAS). We propose an extension of Successive Halving that is able to leverage inform…