FairRover: explorative model building for fair and responsible machine learning

Hantian Zhang, Nima Shahbazi, Xu Chu, Abolfazl Asudeh. FairRover: explorative model building for fair and responsible machine learning. In Matthias Boehm 0001, Julia Stoyanovich, Steven Whang, editors, Proceedings of the Fifth Workshop on Data Management for End-To-End Machine Learning, In conjunction with the 2021 ACM SIGMOD/PODS Conference, DEEM@SIGMOD 2021, Virtual Event, China, 20 June, 2021. ACM, 2021. [doi]

Abstract

Abstract is missing.