Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Fair Empirical Risk Minimization with Generalized Entropy   Recently a parametric family of fairness metrics to quantify algorithmic
fairness has been proposed based on generalized entropy which have been
originally used in economics and public welfare. Since these metrics have
several advantages such as quantifying unfairness at the individual-level and
group-level, and unfold trade-off between the individual fairness and
group-level fairness, algorithmic fairness requirement may be given in terms of
generalized entropy for a fair classification problem. We consider a fair
empirical risk minimization with a fairness constraint specified by generalized
entropy. We theoretically investigate if the fair empirical fair classification
problem is learnable and how to find an approximate optimal classifier of it.

35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
10
The categories of this paper are: q-bio
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
31
The categories of this paper are: ao-sci
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an