Open AccessRegret minimization in stochastic non-convex learning via a proximal-gradient approach
Author(s) -
Nadav Hallak,
Panayotis Mertikopoulos,
Volkan Cevher
Publication year - 2021
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - Uncategorized
Resource type - Conference proceedings
Subject(s) - regret , oracle , mathematical optimization , convex optimization , computer science , minification , lipschitz continuity , regular polygon , matching (statistics) , online learning , stochastic optimization , mathematics , machine learning , geometry , mathematical analysis , statistics , software engineering , world wide web
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