Rankings on online platforms help their end-users find the relevant
info...
We consider the problem of subset selection where one is given multiple
...
Subset selection tasks, arise in recommendation systems and search engin...
The fair-ranking problem, which asks to rank a given set of items to max...
In selection processes such as hiring, promotion, and college admissions...
We study fairness in the context of classification where the performance...
We study fair classification in the presence of an omniscient adversary ...
Symbolic execution has always been plagued by the inability to handle
pr...
Subset selection algorithms are ubiquitous in AI-driven applications,
in...
A robust body of evidence demonstrates the adverse effects of implicit b...
The authors have withdrawn this paper due to an error in the proof of Le...
Implicit bias is the unconscious attribution of particular qualities (or...
Online advertising platforms are thriving due to the customizable audien...
Online advertising platforms are thriving due to the customizable audien...