1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ML2021★ 1 cited
Meta-Learning for Symbolic Hyperparameter Defaults
Pieter Gijsbers, Florian Pfisterer, Jan N. van Rijn +2
Hyperparameter optimization in machine learning (ML) deals with the problem of empirically learning an optimal algorithm configuration from data, usually formulated as a black-box…
cs.AI2018
The Algorithm Selection Competitions 2015 and 2017
Marius Lindauer, Jan N. van Rijn, Lars Kotthoff
The algorithm selection problem is to choose the most suitable algorithm for solving a given problem instance. It leverages the complementarity between different approaches that is…