no code implementations • 16 Feb 2024 • Mark Bun, Aloni Cohen, Rathin Desai
We continue the study of the computational complexity of differentially private PAC learning and how it is situated within the foundations of machine learning.
1 code implementation • 3 Oct 2018 • Ran Canetti, Aloni Cohen, Nishanth Dikkala, Govind Ramnarayan, Sarah Scheffler, Adam Smith
We study the feasibility of achieving various fairness properties by post-processing calibrated scores, and then show that deferring post-processors allow for more fairness conditions to hold on the final decision.