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Stochastic gradient descent algorithms for strongly convex functions at O(1/T) convergence rates
Shenghuo Zhu
Published in:
CoRR (2013)
Keyphrases
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convergence rate
stochastic gradient descent
convex functions
step size
learning algorithm
least squares
primal dual
online algorithms
np hard
maximum likelihood
learning rate
number of iterations required