Zhi-Ming Ma

Asynchronous Stochastic Proximal Optimization Algorithms with Variance Reduction

2017 · Proceedings of the AAAI Conference on Artificial Intelligence

Regularized empirical risk minimization (R-ERM) is an important branch of machine learning, since it constrains the capacity of the hypothesis space and guarantees the generalization ability of the learning algorithm. Two classic proximal optimization algorithms, …