no code implementations • 6 Sep 2023 • ZhaoBin Li, Luna Yee, Nathaniel Sauerberg, Irene Sakson, Joseph Jay Williams, Anna N. Rafferty
We explore these issues in the context of using multi-armed bandit (MAB) algorithms to learn a policy for what version of an educational technology to present to each student, varying the relation between student characteristics and outcomes and also whether the algorithm is aware of these characteristics.
no code implementations • 16 Jun 2021 • Tomas Folke, ZhaoBin Li, Ravi B. Sojitra, Scott Cheng-Hsin Yang, Patrick Shafto
Adversarial images highlight how vulnerable modern image classifiers are to perturbations outside of their training set.