#machine learning
Mar 2026
Simplex-to-Euclidean Bijection for Conjugate and Calibrated Multiclass Gaussian Process
This approach uses Aitchison geometry to map simplex-valued class probabilities to an unconstrained Euclidean representation, turning classification into a GP regression problem with fewer latent dimensions than standard multi-class GP classifiers.
Bernardo Williams, Harsha Vardhan Tetali, Arto Klami et al.
· arXiv.org · 0 citations