Robotics & Machine Learning Daily News2024,Issue(Aug.6) :22-22.

Northeast Normal University Reports Findings in Machine Learning (Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization)

Robotics & Machine Learning Daily News2024,Issue(Aug.6) :22-22.

Northeast Normal University Reports Findings in Machine Learning (Shuffling-type gradient method with bandwidth-based step sizes for finite-sum optimization)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Changchun, People’s Repu blic of China, by NewsRx journalists, research stated, “Shufflingtypegradient method is a popular machine learning algorithm that solves finite-sum optimizati on problemsby randomly shuffling samples during iterations. In this paper, we e xplore the convergence properties ofshuffling-type gradient method under mild a ssumptions.”

Key words

Changchun/People’s Republic of China/A sia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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