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pro vyhledávání: '"Weitzman, Shlomi"'
Autor:
Weitzman, Shlomi, Sabato, Sivan
Publikováno v:
Proceedings of the 35th International Conference on Algorithmic Learning Theory, PMLR 237:1-20, 2024
We study adaptive combinatorial maximization, which is a core challenge in machine learning, with applications in active learning as well as many other domains. We study the Bayesian setting, and consider the objectives of maximization under a cardin
Externí odkaz:
http://arxiv.org/abs/2404.01930