Login / Signup
High-Dimensional Bayesian Optimization via Nested Riemannian Manifolds.
Noémie Jaquier
Leonel Dario Rozo
Published in:
CoRR (2020)
Keyphrases
</>
riemannian manifolds
high dimensional
euclidean space
parameter space
feature space
multi dimensional
low dimensional
dimensionality reduction
data points
multi class classification
vector space
kernel function
similarity search
input space
pairwise
geodesic distance
feature extraction