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stat.ML2025
General OOD Detection via Model-aware and Subspace-aware Variable Priority
Min Lu, Hemant Ishwaran
Out-of-distribution (OOD) detection is essential for determining when a supervised model encounters inputs that differ meaningfully from its training distribution. While widely stu…
stat.ML2024
Model-independent variable selection via the rule-based variable priority
Min Lu, Hemant Ishwaran
While achieving high prediction accuracy is a fundamental goal in machine learning, an equally important task is finding a small number of features with high explanatory power. One…