Cynthia Rudin

Feature importance estimates are likely garbage if they rely on unrestricted permutations, but these three new methods offer a fix.

Instead of seeking a single "best" dimension reduction, embrace the multiplicity of good embeddings to build more robust and interpretable visualizations.