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pro vyhledávání: '"Manzo, Brian"'
Controlling false positives (Type I errors) through statistical hypothesis testing is a foundation of modern scientific data analysis. Existing causal structure discovery algorithms either do not provide Type I error control or cannot scale to the si
Externí odkaz:
http://arxiv.org/abs/2310.16626
Controlled feature selection aims to discover the features a response depends on while limiting the false discovery rate (FDR) to a predefined level. Recently, multiple deep-learning-based methods have been proposed to perform controlled feature sele
Externí odkaz:
http://arxiv.org/abs/2106.01528