Introduces Adaptive Weighted Group Fused LASSO estimator with ADMM algorithm and asymptotic guarantees, demonstrated on Alabama school math proficiency data.
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3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
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2026 3representative citing papers
Deep UCSL uses a contrastive EM loss on patient-control labels to isolate disease-driven subgroups in medical imaging by suppressing shared healthy variability.
Applies standard HJB and Feynman-Kac methods to stochastic harvesting models and claims they are consistent for policy design.
citing papers explorer
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Automatic Discovery of Disease Subgroups by Contrasting with Healthy Controls
Deep UCSL uses a contrastive EM loss on patient-control labels to isolate disease-driven subgroups in medical imaging by suppressing shared healthy variability.