2 papers
cs.LG2026
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…
cs.LG2025
Optimal Labeler Assignment and Sampling for Active Learning in the Presence of Imperfect Labels
Pouya Ahadi, Blair Winograd, Camille Zaug +3
Active Learning (AL) has garnered significant interest across various application domains where labeling training data is costly. AL provides a framework that helps practitioners q…