43 citations · 139 across the 20 of their papers we have counts for
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cs.LG2022★ 1 cited
Computationally-efficient initialisation of GPs: The generalised variogram method
Felipe Tobar, Elsa Cazelles, Taco de Wolff
We present a computationally-efficient strategy to initialise the hyperparameters of a Gaussian process (GP) avoiding the computation of the likelihood function. Our strategy can b…
cs.LG2021★ 1 cited
Studying the Interplay between Information Loss and Operation Loss in Representations for Classification
Jorge F. Silva, Felipe Tobar, Mario Vicuña +1
Information-theoretic measures have been widely adopted in the design of features for learning and decision problems. Inspired by this, we look at the relationship between i) a wea…