English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

In this note, we present a new averaging technique for the projectedstochastic subgradient method. By using a weighted average with a weight of t+1for 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 comparedempirically to existing techniques, with similar performance behavior.

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