Constrained and composite optimization via adaptive sampling methods

On Sampling Rates in Simulation-Based Recursions

(2018) Raghu Pasupathy et al.   SIAM JOURNAL ON OPTIMIZATION

Global convergence rate analysis of unconstrained optimization methods based on probabilistic models

(2017) C. Cartis et al.   MATHEMATICAL PROGRAMMING

First-order methods of smooth convex optimization with inexact oracle

(2013) Olivier Devolder et al.   MATHEMATICAL PROGRAMMING

Sample size selection in optimization methods for machine learning

(2012) Richard H. Byrd et al.   MATHEMATICAL PROGRAMMING

Gradient methods for minimizing composite functions

(2012) Yu. Nesterov   MATHEMATICAL PROGRAMMING

Hybrid Deterministic-Stochastic Methods for Data Fitting

(2012) Michael P. Friedlander et al.   SIAM JOURNAL ON SCIENTIFIC COMPUTING