Author

M. P. Wand

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Preprint Jul 2026

Structure Learning on Clustered Data

A new approach is introduced that estimates a global structure while accounting for local cluster-level effects, and presents a differentiable graph coupling mechanism that guarantees the union of the fixed- and random-effects graphs remains acyclic.

Ryan Thompson, Matt P. Wand, V. Baladandayuthapani · 0 citations