Feature Gradients computes a learnability-based score for feature subsets in linear time and uses gradient descent on a continuous relaxation to select features, outperforming filter baselines and MISSION on several datasets.
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Feature Gradients: Scalable Feature Selection via Discrete Relaxation
Feature Gradients computes a learnability-based score for feature subsets in linear time and uses gradient descent on a continuous relaxation to select features, outperforming filter baselines and MISSION on several datasets.