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cs.LG2026
Finite-Sample Analysis of Elimination in Active Hypothesis Testing
Ziyuan Lin, Hoang Ngoc Nguyen, Jie Xu +1
A fixed-confidence, finite-sample problem of active hypothesis testing arises in many safety-critical applications. Situated in the context of sequential hypothesis testing, this p…
cs.LG2023★ 1 cited
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems
Sydney Pugh, Ivan Ruchkin, Insup Lee +1
Deep learning models have shown promising predictive accuracy for time-series healthcare applications. However, ensuring the robustness of these models is vital for building trustw…