MinShap adapts Shapley values by taking minimum marginal contributions to select features more accurately and stably than LOCO, GCM, or Lasso, supported by DAG faithfulness assumptions and Type I error bounds.
Stability selection.Journal of the Royal Statistical Society Series B: Statistical Methodology, 72(4):417–473
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EqOD combines symmetry-based library reduction with stability selection to reach F1=1.000 on several noisy PDE identification tasks where prior methods fail.
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MinShap: A Modified Shapley Value Approach for Feature Selection
MinShap adapts Shapley values by taking minimum marginal contributions to select features more accurately and stably than LOCO, GCM, or Lasso, supported by DAG faithfulness assumptions and Type I error bounds.
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EqOD: Symmetry-Informed Stability Selection for PDE Identification
EqOD combines symmetry-based library reduction with stability selection to reach F1=1.000 on several noisy PDE identification tasks where prior methods fail.