Learning with privileged and sensitive information: a gradient-boosting approach

We consider the problem of learning with sensitive features under the privileged information setting where the goal is to learn a classifier that uses features not available (or too sensitive to collect) at test/deployment time to learn a better model at training time. We focus on tree-based learner...

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Bibliographic Details
Main Authors: Siwen Yan, Phillip Odom, Rahul Pasunuri, Kristian Kersting, Sriraam Natarajan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Artificial Intelligence
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2023.1260583/full