Nicolae Dobra, Jakiw Pidstrigach, et al.
NeurIPS 2025
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.
Nicolae Dobra, Jakiw Pidstrigach, et al.
NeurIPS 2025
Ran Iwamoto, Kyoko Ohara
ICLC 2023
Daniel Karl I. Weidele, Priyanshu Rai, et al.
AAAI 2026
Hong-linh Truong, Maja Vukovic, et al.
ICDH 2024