A survey equating offline Monte-Carlo/SAA and online stochastic-approximation sample complexities for convex stochastic optimization arising in statistics and ML.
arXiv preprint arXiv:2102.08352 , year=
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Stochastic Optimization and Data Science
A survey equating offline Monte-Carlo/SAA and online stochastic-approximation sample complexities for convex stochastic optimization arising in statistics and ML.