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Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm.
You-Lin Chen
Zhiqiang Xu
Ping Li
Published in:
ACML (2022)
Keyphrases
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cost function
dynamic programming
objective function
noisy data
monte carlo
preprocessing
least squares
recursive algorithm
np hard
particle swarm optimization
detection algorithm
loss function
k means
matching algorithm
optimal solution
learning algorithm
shape analysis
similarity metric
gradient information