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Stochastic optimization under time drift: iterate averaging, step-decay schedules, and high probability guarantees.
Joshua Cutler
Dmitriy Drusvyatskiy
Zaïd Harchaoui
Published in:
NeurIPS (2021)
Keyphrases
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stochastic optimization
multistage
probability distribution
machine learning
scheduling problem
robust optimization
np hard