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May, 2015
主动学习与随机凸优化之间的算法联系
Algorithmic Connections Between Active Learning and Stochastic Convex Optimization
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Aaditya Ramdas, Aarti Singh
TL;DR
该论文探讨了近年来关于主动学习和随机凸优化之间的理论相关性,并提出了两种算法,分别适用于一维阈值和d维凸优化的场景,旨在实现对这两个领域的最优控制,支持适应所有未知的凸性和平滑参数。
Abstract
Interesting theoretical associations have been established by recent papers between the fields of
active learning
and
stochastic convex optimization
due to the common role of feedback in
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