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cs.LG2025
Active Learning with Imperfect Labels: Optimal Labeler Assignment and Sample Selection
Pouya Ahadi, Blair Winograd, Camille Zaug +3
Active Learning (AL) is commonly used in applications where labeling data is expensive or time-consuming. In practice, however, labels are often noisy due to varying labeler expert…
cs.LG2025
Bayesian Optimization for Function-Valued Responses under Min-Max Criteria
Pouya Ahadi, Reza Marzban, Ali Adibi +1
Bayesian optimization is widely used for optimizing expensive black box functions, but most existing approaches focus on scalar responses. In many scientific and engineering settin…