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cs.LG2026
Active Feature Acquisition With Incomplete Training Data
Reza Rezvan, Valter Schütz, Han Wu +2
In many prediction tasks, acquiring all features can be a prohibitively expensive or outright impossible task. Further, in many cases a static subset of features may not be enough…
cs.LG2026
Non-Myopic Active Feature Acquisition via Pathwise Policy Gradients
Linus Aronsson, Morteza Haghir Chehreghani
Active feature acquisition (AFA) considers prediction problems in which features are costly to obtain and the learner adaptively decides which feature values to acquire for each in…