activity
20152026
most citedFairness Rising from the Ranks: HITS and PageRank on Homophilic Networks

6 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

cs.HC2026

Stochastic wage suppression on gig platforms and how to organize against it

Ana-Andreea Stoica, Celestine Mendler-Duenner, Moritz Hardt

Digital labor platforms are increasingly used to procure human input, ranging from annotating data and red-teaming AI models, to ride-sharing and food delivery. A central concern i…

cs.CY2025

Policy Design in Long-Run Welfare Dynamics

Jiduan Wu, Rediet Abebe, Moritz Hardt +1

Improving social welfare is a complex challenge requiring policymakers to optimize objectives across multiple time horizons. Evaluating the impact of such policies presents a funda…

cs.LG2024

The Fairness-Quality Trade-off in Clustering

Rashida Hakim, Ana-Andreea Stoica, Christos H. Papadimitriou +1

Fairness in clustering has been considered extensively in the past; however, the trade-off between the two objectives -- e.g., can we sacrifice just a little in the quality of the…

cs.GT2024

Causal Inference from Competing Treatments

Ana-Andreea Stoica, Vivian Y. Nastl, Moritz Hardt

Many applications of RCTs involve the presence of multiple treatment administrators -- from field experiments to online advertising -- that compete for the subjects' attention. In…

cs.SI2024

Fairness in Social Influence Maximization via Optimal Transport

Shubham Chowdhary, Giulia De Pasquale, Nicolas Lanzetti +2

We study fairness in social influence maximization, whereby one seeks to select seeds that spread a given information throughout a network, ensuring balanced outreach among differe…

cs.SI2024★ 6 cited

Fairness Rising from the Ranks: HITS and PageRank on Homophilic Networks

Ana-Andreea Stoica, Nelly Litvak, Augustin Chaintreau

In this paper, we investigate the conditions under which link analysis algorithms prevent minority groups from reaching high ranking slots. We find that the most common link-based…

cs.CY2023★ 2 cited

AI and the EU Digital Markets Act: Addressing the Risks of Bigness in Generative AI

Ayse Gizem Yasar, Andrew Chong, Evan Dong +9

As AI technology advances rapidly, concerns over the risks of bigness in digital markets are also growing. The EU's Digital Markets Act (DMA) aims to address these risks. Still, th…

cs.GT2020

Bridging Machine Learning and Mechanism Design towards Algorithmic Fairness

Jessie Finocchiaro, Roland Maio, Faidra Monachou +4

Decision-making systems increasingly orchestrate our world: how to intervene on the algorithmic components to build fair and equitable systems is therefore a question of utmost imp…

cs.SI2019★ 4 cited

Minimizing Margin of Victory for Fair Political and Educational Districting

Ana-Andreea Stoica, Abhijnan Chakraborty, Palash Dey +1

In many practical scenarios, a population is divided into disjoint groups for better administration, e.g., electorates into political districts, employees into departments, student…

q-bio.QM2015

Modeling epidemics on adaptively evolving networks: a data-mining perspective

Assimakis A. Kattis, Alexander Holiday, Ana-Andreea Stoica +1

The exploration of epidemic dynamics on dynamically evolving ("adaptive") networks poses nontrivial challenges to the modeler, such as the determination of a small number of inform…