ML-based predictions are used to inform consequential decisions about
in...
There are growing concerns that algorithms, which increasingly make or
i...
In many machine learning settings there is an inherent tension between
f...
An agnostic PAC learning algorithm finds a predictor that is competitive...
Prediction algorithms assign numbers to individuals that are popularly
u...
It is well understood that classification algorithms, for example, for
d...
As algorithms are increasingly used to make important decisions pertaini...
In this paper we study the fine-grained complexity of finding exact and
...
We study fairness in machine learning. A learning algorithm, given a tra...
We study the problem of fair classification within the versatile framewo...
As algorithms increasingly inform and influence decisions made about
ind...