Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics.

Hanlin Yu Marcelo Hartmann Bernardo Williams Arto Klami

Published in: CoRR (2023)

Keyphrases

stochastic gradient
euclidean metric
nearest neighbor classifier
stochastic gradient descent
step size
grassmann manifold
symmetric positive definite
covariance matrix
manifold learning
geodesic distance
decision trees
multiresolution
high resolution