A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method

Lacoste-Julien, Simon, Schmidt, Mark, Bach, Francis

arXiv.org Machine Learning 

In this note, we present a new averaging technique for the projected stochastic subgradient method. By using a weighted average with a weight of t+1 for each iterate w_t at iteration t, we obtain the convergence rate of O(1/t) with both an easy proof and an easy implementation. The new scheme is compared empirically to existing techniques, with similar performance behavior.

Duplicate Docs Excel Report

Title
None found

Similar Docs  Excel Report  more

TitleSimilaritySource
None found