activity
20042020
most citedFighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems

103 citations · 131 across the 9 of their papers we have counts for

collaborators

10 papers

q-bio.MN2020

Interpretable Network Propagation with Application to Expanding the Repertoire of Human Proteins that Interact with SARS-CoV-2

Jeffrey N. Law, Kyle Akers, Nure Tasnina +8

Background: Network propagation has been widely used for nearly 20 years to predict gene functions and phenotypes. Despite the popularity of this approach, little attention has bee…

cs.LG2020★ 4 cited

Fair Inputs and Fair Outputs: The Incompatibility of Fairness in Privacy and Accuracy

Bashir Rastegarpanah, Mark Crovella, Krishna P. Gummadi

Fairness concerns about algorithmic decision-making systems have been mainly focused on the outputs (e.g., the accuracy of a classifier across individuals or groups). However, one…

cs.IR2019★ 103 cited

Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems

Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella

The increasing role of recommender systems in many aspects of society makes it essential to consider how such systems may impact social good. Various modifications to recommendatio…

cs.LG2017★ 19 cited

Matrix completion with queries

Natali Ruchansky, Mark Crovella, Evimaria Terzi

In many applications, e.g., recommender systems and traffic monitoring, the data comes in the form of a matrix that is only partially observed and low rank. A fundamental data-anal…

cs.LG2017

Targeted matrix completion

Natali Ruchansky, Mark Crovella, Evimaria Terzi

Matrix completion is a problem that arises in many data-analysis settings where the input consists of a partially-observed matrix (e.g., recommender systems, traffic matrix analysi…

cs.NI2012★ 3 cited

Mixture Models of Endhost Network Traffic

John Mark Agosta, Jaideep Chandrashekar, Mark Crovella +2

In this work we focus on modeling a little studied type of traffic, namely the network traffic generated from endhosts. We introduce a parsimonious parametric model of the marginal…