11 citations · 29 across the 9 of their papers we have counts for
5 papers · 1 filter
Joint Use of Node Attributes and Proximity for Semi-Supervised Classification on Graphs
Arpit Merchant, Michael Mathioudakis
The task of node classification is to infer unknown node labels, given the labels for some of the nodes along with the network structure and other node attributes. Typically, appro…
Fair and Representative Subset Selection from Data Streams
Yanhao Wang, Francesco Fabbri, Michael Mathioudakis
We study the problem of extracting a small subset of representative items from a large data stream. In many data mining and machine learning applications such as social network ana…
GRMR: Generalized Regret-Minimizing Representatives
Yanhao Wang, Michael Mathioudakis, Yuchen Li +1
Extracting a small subset of representative tuples from a large database is an important task in multi-criteria decision making. The regret-minimizing set (RMS) problem is recently…
Towards Data-Driven Affirmative Action Policies under Uncertainty
Corinna Hertweck, Carlos Castillo, Michael Mathioudakis
In this paper, we study university admissions under a centralized system that uses grades and standardized test scores to match applicants to university programs. We consider affir…
Intersectional Affirmative Action Policies for Top-k Candidates Selection
Giorgio Barnabo', Carlos Castillo, Michael Mathioudakis +1
We study the problem of selecting the top-k candidates from a pool of applicants, where each candidate is associated with a score indicating his/her aptitude. Depending on the spec…