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cs.LG2026
Learning Auditable Classifier Models: Source-Disjoint Tree Ensembles
Srikumar Krishnamoorthy
Predictive models in clinical and regulated settings must be accurate and fully auditable. Tree ensembles deliver strong accuracy on tabular data, but their sequential boosting cou…
cs.LG2026
Complexity-Budgeted, Interaction-Aware Interpretable Model for Tabular Data
Srikumar Krishnamoorthy
Inherently interpretable classifiers for tabular data typically rely on sparse features, rules, or patterns that users can inspect directly. The marginal feature-screening step com…