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Found 6 papers, 0 papers with code
Feature Importance: A Closer Look at Shapley Values and LOCO
We are particularly interested in the effect of correlation between features which can obscure interpretability.
Decorrelated Variable Importance
We propose a method for mitigating the effect of correlation by defining a modified version of LOCO.
Forest Guided Smoothing
We use the output of a random forest to define a family of local smoothers with spatially adaptive bandwidth matrices.
Finding Singular Features
We present a method for finding high density, low-dimensional structures in noisy point clouds.
Nonparametric Inference For Density Modes
We derive nonparametric confidence intervals for the eigenvalues of the Hessian at modes of a density estimate.
Nonparametric ridge estimation
Ridge estimation is an extension of mode finding and is useful for understanding the structure of a density.
