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cs.LG2025
MINERVA: Mutual Information Neural Estimation for Supervised Feature Selection
Taurai Muvunza, Egor Kraev, Pere Planell-Morell +1
Existing feature filters rely on statistical pair-wise dependence metrics to model feature-target relationships, but this approach may fail when the target depends on higher-order…
cs.LG2022
Out-of-sample scoring and automatic selection of causal estimators
Egor Kraev, Timo Flesch, Hudson Taylor Lekunze +2
Recently, many causal estimators for Conditional Average Treatment Effect (CATE) and instrumental variable (IV) problems have been published and open sourced, allowing to estimate…