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Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent.
Jason M. Altschuler
Sinho Chewi
Patrik Gerber
Austin J. Stromme
Published in:
NeurIPS (2021)
Keyphrases
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update rule
high dimension
lower dimension
intrinsic dimension
cost function
convergence rate
pointwise
objective function
low dimensional
manifold learning
lower dimensional
temporal dimension
faster convergence
global convergence
multiscale
learning rate
feature extraction
multi dimensional
weighted averaging