30 citations · 44 across the 6 of their papers we have counts for
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stat.ML2024★ 30 cited
Hyperparameter Optimization in Machine Learning
Luca Franceschi, Michele Donini, Valerio Perrone +5
Hyperparameters are configuration variables controlling the behavior of machine learning algorithms. They are ubiquitous in machine learning and artificial intelligence and the cho…
stat.ML2011★ 13 cited
Multiple Gaussian Process Models
Cedric Archambeau, Francis Bach
We consider a Gaussian process formulation of the multiple kernel learning problem. The goal is to select the convex combination of kernel matrices that best explains the data and…