Distributed Stochastic Optimization of Regularized Risk via Saddle-Point Problem

Lecture Notes in Artificial Intelligence, pp. 460-476, 2017.

Cited by: 1|Views57
EI

Abstract:

Many machine learning algorithms minimize a regularized risk, and stochastic optimization is widely used for this task. When working with massive data, it is desirable to perform stochastic optimization in parallel. Unfortunately, many existing stochastic optimization algorithms cannot be parallelized efficiently. In this paper we show th...More

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