Learning under Selective Labels with Data from Heterogeneous Decision-makers: An Instrumental Variable Approach

no code implementations • 13 Jun 2023 • Jian Chen, Zhehao Li, Xiaojie Mao

The labeled data distribution may substantially differ from the full population, especially when the historical decisions and the target outcome can be simultaneously affected by some unobserved factors.

Decision Making Selection bias