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A Unified Analysis of Dynamic Interactive Learning
[article]
2022
arXiv
pre-print
In this paper we investigate the problem of learning evolving concepts over a combinatorial structure. Previous work by Emamjomeh-Zadeh et al. [2020] introduced dynamics into interactive learning as a way to model non-static user preferences in clustering problems or recommender systems. We provide many useful contributions to this problem. First, we give a framework that captures both of the models analyzed by [Emamjomeh-Zadeh et al., 2020], which allows us to study any type of concept
arXiv:2204.07071v1
fatcat:mm7x6iqsizeoxgx3cj54p4txv4