2026
Variable Clustering via Distributionally Robust Nodewise Regression
ICML 2026poster
We study a multi-factor block model for variable clustering and connect it to regularized subspace clustering through a distributionally robust version of nodewise regression. To solve the latter problem, we derive a convex relaxation, provide a data-driven approach for selecting the size of the rob…