Introduces Adaptive Weighted Group Fused LASSO estimator with ADMM algorithm and asymptotic guarantees, demonstrated on Alabama school math proficiency data.
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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.
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