← Search

Preetam Nandy

3 accepted papers

2022

Pushing the limits of fairness impossibility: Who's the fairest of them all?

NeurIPS 2022accept

The impossibility theorem of fairness is a foundational result in the algorithmic fairness literature. It states that outside of special cases, one cannot exactly and simultaneously satisfy all three common and intuitive definitions of fairness - demographic parity, equalized odds, and predictive ra…

Cited by 22SourcePDFScholar
2021

A/B Testing for Recommender Systems in a Two-sided Marketplace

NeurIPS 2021poster

Two-sided marketplaces are standard business models of many online platforms (e.g., Amazon, Facebook, LinkedIn), wherein the platforms have consumers, buyers or content viewers on one side and producers, sellers or content-creators on the other. Consumer side measurement of the impact of a treatment…

Cited by 19SourcePDFScholar
2020

A/B Testing in Dense Large-Scale Networks: Design and Inference

NeurIPS 2020spotlight

Design of experiments and estimation of treatment effects in large-scale networks, in the presence of strong interference, is a challenging and important problem. Most existing methods' performance deteriorates as the density of the network increases. In this paper, we present a novel strategy for a…

Cited by 24SourcePDFScholar