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Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-batch, and Implementation.
Aysegul Bumin
Kejun Huang
Published in:
Trans. Mach. Learn. Res. (2022)
Keyphrases
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empirical risk minimization
rates of convergence
empirical risk
risk minimization
operator splitting
uniform convergence
convergence rate
convex optimization
loss function
statistical learning theory
machine learning
semi supervised learning
partial differential equations