activity
20152022
most citedElection Control by Manipulating Issue Significance

2 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY20222 cited

Trade-offs between Group Fairness Metrics in Societal Resource Allocation

Tasfia Mashiat, Xavier Gitiaux, Huzefa Rangwala +2

We consider social resource allocations that deliver an array of scarce supports to a diverse population. Such allocations pervade social service delivery, such as provision of hom…

cs.MA20201 cited

Incentivizing Truthfulness Through Audits in Strategic Classification

Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik

In many societal resource allocation domains, machine learning methods are increasingly used to either score or rank agents in order to decide which ones should receive either reso…

cs.GT20202 cited

Election Control by Manipulating Issue Significance

Andrew Estornell, Sanmay Das, Edith Elkind +1

Integrity of elections is vital to democratic systems, but it is frequently threatened by malicious actors. The study of algorithmic complexity of the problem of manipulating elect…

cs.AI2019

Deception through Half-Truths

Andrew Estornell, Sanmay Das, Yevgeniy Vorobeychik

Deception is a fundamental issue across a diverse array of settings, from cybersecurity, where decoys (e.g., honeypots) are an important tool, to politics that can feature politica…

stat.ML20151 cited

How to show a probabilistic model is better

Mithun Chakraborty, Sanmay Das, Allen Lavoie

We present a simple theoretical framework, and corresponding practical procedures, for comparing probabilistic models on real data in a traditional machine learning setting. This f…