no code implementations • 22 May 2024 • Haosen Ge, Hamsa Bastani, Osbert Bastani
We consider the online learning setting, where examples arrive over time, and the goal is to construct prediction sets dynamically.
no code implementations • 5 Oct 2023 • Haosen Ge, Hamsa Bastani, Osbert Bastani
However, we show that it may be infeasible to design algorithmic recommendations that are simultaneously fair in isolation, compliance-robustly fair, and more accurate than the human policy; thus, if our goal is to improve the equity and accuracy of human-AI collaboration, it may not be desirable to enforce traditional fairness constraints.
1 code implementation • 17 Aug 2022 • Haosen Ge, In Young Park, Xuancheng Qian, Grace Zeng
In this paper, we propose a compact pretrained deep neural network, Transformer Encoder for Social Science (TESS), explicitly designed to tackle text processing tasks in social science research.