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Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics.
Hanlin Yu
Marcelo Hartmann
Bernardo Williams
Arto Klami
Published in:
Trans. Mach. Learn. Res. (2023)
Keyphrases
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stochastic gradient
euclidean metric
nearest neighbor classifier
grassmann manifold
stochastic gradient descent
symmetric positive definite
step size
riemannian manifolds
covariance matrix
decision trees
feature extraction
support vector
feature vectors
collaborative filtering