Stochastic Douglas-Rachford Splitting for Regularized Empirical Risk Minimization: Convergence, Mini-batch, and Implementation
Published in Transactions on Machine Learning Research (TMLR) Journal, 2022
This paper is presenting convergence analysis for stochastic Douglas Rachford Splitting algorithm for empirical risk minimization objective functions, and further extension to mini batch implementation. Download paper here
