UAI 2021Poster

Multi-task and meta-learning with sparse linear bandits

作者: Leonardo Cella, Massimiliano Pontil

摘要

Motivated by recent developments on meta-learning with linear contextual bandit tasks, we study the benefit of feature learning in both the multi-task and meta-learning settings. We focus on the case that the task weight vectors are

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