Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimized Data Pre-Processing for Discrimination Prevention   Non-discrimination is a recognized objective in algorithmic decision making.
In this paper, we introduce a novel probabilistic formulation of data
pre-processing for reducing discrimination. We propose a convex optimization
for learning a data transformation with three goals: controlling
discrimination, limiting distortion in individual data samples, and preserving
utility. We characterize the impact of limited sample size in accomplishing
this objective, and apply two instances of the proposed optimization to
datasets, including one on real-world criminal recidivism. The results
demonstrate that all three criteria can be simultaneously achieved and also
reveal interesting patterns of bias in American society.

7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
25
The categories of this paper are: patt-sol
15
The categories of this paper are: nucl-ex
6
The categories of this paper are: astro-ph
0
The categories of this paper are: hep-ph
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
26
The categories of this paper are: bayes-an
11
The categories of this paper are: hep-lat
27
The categories of this paper are: comp-gas
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
5
The categories of this paper are: gr-qc