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Jun, 2021
带有乐观性和延迟的在线学习
Online Learning with Optimism and Delay
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Genevieve Flaspohler, Francesco Orabona, Judah Cohen, Soukayna Mouatadid, Miruna Oprescu...
TL;DR
本研究开发了一种乐观的在线学习算法,不需要参数调整,在延迟反馈下具有最佳的后悔保证,支持实时气象预测,同时通过引入乐观提示来减少延迟造成的代价,并应用于气候子季节预测任务中,相对于现有模型具有低后悔。
Abstract
Inspired by the demands of real-time climate and
weather forecasting
, we develop optimistic
online learning
algorithms that require no parameter tuning and have optimal regret guarantees under
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