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20222024
most citedA Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes

1 citations · 2 across the 5 of their papers we have counts for

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cs.LG2022

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis

Lennart Schneider, Lennart Schäpermeier, Raphael Patrick Prager +3

Hyperparameter optimization (HPO) is a key component of machine learning models for achieving peak predictive performance. While numerous methods and algorithms for HPO have been p…

cs.LG2022★ 1 cited

A Collection of Deep Learning-based Feature-Free Approaches for Characterizing Single-Objective Continuous Fitness Landscapes

Moritz Vinzent Seiler, Raphael Patrick Prager, Pascal Kerschke +1

Exploratory Landscape Analysis is a powerful technique for numerically characterizing landscapes of single-objective continuous optimization problems. Landscape insights are crucia…