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convergence rate
convergence rate
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stochastic gradient descent
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convex optimization
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stochastic optimization
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gradient descent
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convergence analysis
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non-convex optimization
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learning theory
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Papers
Stability Properties of Empirical Risk Minimization over Donsker Classes
JMLR 2006
Parameter Expanded Variational Bayesian Methods
NIPS 2006
Asymptotics in Empirical Risk Minimization
JMLR 2005
Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions
JMLR 2005
Learning Rates for Q-learning
JMLR 2003
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity
JMLR 2003
On the Rate of Convergence of Regularized Boosting Classifiers
JMLR 2003
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