Optimistic bounds for multi-output learning

H Reeve, A Kaban - International Conference on Machine …, 2020 - proceedings.mlr.press
We investigate the challenge of multi-output learning, where the goal is to learn a vector-
valued function based on a supervised data set. This includes a range of important problems …

Plug-in methods in classification

E Chzhen - 2019 - theses.hal.science
This manuscript studies several problems of constrained classification. In this frameworks of
classification our goal is to construct an algorithm which performs as good as the best …