An Asynchronous Mini-Batch Algorithm for Regularized Stochastic Optimization

By Hamid Reza Feyzmahdavian, Arda Aytekin, Mikael Johansson. 2016

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Xiangru Lian
2. Ji Liu
3. Yijun Huang
4. Hanlin Tang
5. Yuncheng Li
6. Jianyu Wang
7. Ce Zhang
8. Hao Yu

Citations in the corpus

• Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization (2015, positive): “It has been successfully applied to the distributed neural network [Dean et al., 2012] and the parameter server [Li et al., 2014a] to solve deep neural network.”
• An asynchronous mini-batch algorithm for regularized stochastic optimization (2015, neutral): “Proof: The proof is omitted in this paper, due to limited space but can be found in the online version of the paper [39].”