Anurag Ajay, Seungwook Han, et al.
NeurIPS 2023
We study functions with multiple output values, and use active sampling to identify an example for each of the possible output values. Our results for this setting include: (1) Efficient active sampling algorithms for simple geometric concepts, such as intervals on a line and axis parallel boxes. (2) A characterization for the case of binary output value in a transductive setting. (3) An analysis of active sampling with uniform distribution in the plane. (4) An efficient algorithm for the Boolean hypercube when each output value is a monomial. © 2007 Springer Science+Business Media, LLC.
Anurag Ajay, Seungwook Han, et al.
NeurIPS 2023
Vladimir Yanovski, Israel A. Wagner, et al.
Ann. Math. Artif. Intell.
George Manias, Dimitris Apostolopoulos, et al.
DCOSS-IoT 2023
Xiaoxiao Guo, Shiyu Chang, et al.
AAAI 2019