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Not all tickets are equal and we know it: Guiding pruning with domain-specific knowledge
Neural structure learning is of paramount importance for scientific discovery and interpretability.
A distribution-free mixed-integer optimization approach to hierarchical modelling of clustered and longitudinal data
In this paper, we broaden this method to facilitate cluster-aware regression, where selection aims to choose $\lambda$ out of $K$ clusters in a linear mixed effects (LMM) model with $n_k$ observations for each cluster.
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