Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Assessing Fairness in the Presence of Missing Data   Missing data are prevalent and present daunting challenges in real data
analysis. While there is a growing body of literature on fairness in analysis
of fully observed data, there has been little theoretical work on investigating
fairness in analysis of incomplete data. In practice, a popular analytical
approach for dealing with missing data is to use only the set of complete
cases, i.e., observations with all features fully observed to train a
prediction algorithm. However, depending on the missing data mechanism, the
distribution of complete cases and the distribution of the complete data may be
substantially different. When the goal is to develop a fair algorithm in the
complete data domain where there are no missing values, an algorithm that is
fair in the complete case domain may show disproportionate bias towards some
marginalized groups in the complete data domain. To fill this significant gap,
we study the problem of estimating fairness in the complete data domain for an
arbitrary model evaluated merely using complete cases. We provide upper and
lower bounds on the fairness estimation error and conduct numerical experiments
to assess our theoretical results. Our work provides the first known
theoretical results on fairness guarantee in analysis of incomplete data.

19
The categories of this paper are: eess
37
The categories of this paper are: supr-con
33
The categories of this paper are: plasm-ph
6
The categories of this paper are: astro-ph
14
The categories of this paper are: math-ph
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
13
The categories of this paper are: quant-ph
21
The categories of this paper are: adap-org
36
The categories of this paper are: cmp-lg