Variable Smoothing for Convex Optimization Problems Using Stochastic Gradients.

Radu Ioan Bot Axel Böhm

Published in: J. Sci. Comput. (2020)

Keyphrases

convex optimization problems
convex optimization
optimization problems
learning problems
structured sparsity
primal dual
interior point methods
machine learning
evolutionary algorithm
neural network
genetic algorithm
feature vectors
active learning
total variation