α-GaBO performs Bayesian optimization on the probability simplex by pulling spherical Matérn kernels through the Fisher-Rao sphere isometry and using α-connection optimizers, beating Euclidean baselines in several benchmarks and applications.
Immanuel M Bomze
1 Pith paper cite this work, alongside 69 external citations. Polarity classification is still indexing.
1
Pith paper citing it
69
external citations · OpenAlex
fields
cs.LG 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Information Theoretic Bayesian Optimization over the Probability Simplex
α-GaBO performs Bayesian optimization on the probability simplex by pulling spherical Matérn kernels through the Fisher-Rao sphere isometry and using α-connection optimizers, beating Euclidean baselines in several benchmarks and applications.