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COLT 2019 and before

Year Title Author Publication Code Tasks Notes Datasets Notions
2018 Efficient active learning of sparse halfspaces Zhang COLT - Theory We study the problem of efficient PAC active learning of homogeneous linear classifiers, where the goal is to learn a halfspace with low error using as few label queries as possible.
2017 Adaptivity to Noise Parameters in Nonparametric Active Learning Andrea and Samory COLT - Nonparametric classification, Thory This work addresses various open questions in the theory of active learning for nonparametric classification