Ana Stoica
@anastoica.bsky.social
Research Group Lead @ Max Planck Institute for Intelligent Systems, Tübingen. Into social networks, game theory, and casually causal inference.
‘Fairness in Social Influence Maximization
via Optimal Transport’, with Shubam Chowdary, Giulia de Pasquale, Nicolas Lanzetti, and Florian Dörfler.
We equalize the distribution of outcomes in information spreading processes among multiple groups through OT and new algs.
arxiv.org/pdf/2406.17736
via Optimal Transport’, with Shubam Chowdary, Giulia de Pasquale, Nicolas Lanzetti, and Florian Dörfler.
We equalize the distribution of outcomes in information spreading processes among multiple groups through OT and new algs.
arxiv.org/pdf/2406.17736
arxiv.org
December 9, 2024 at 8:21 PM
‘Fairness in Social Influence Maximization
via Optimal Transport’, with Shubam Chowdary, Giulia de Pasquale, Nicolas Lanzetti, and Florian Dörfler.
We equalize the distribution of outcomes in information spreading processes among multiple groups through OT and new algs.
arxiv.org/pdf/2406.17736
via Optimal Transport’, with Shubam Chowdary, Giulia de Pasquale, Nicolas Lanzetti, and Florian Dörfler.
We equalize the distribution of outcomes in information spreading processes among multiple groups through OT and new algs.
arxiv.org/pdf/2406.17736
‘The Fairness-Quality Trade-off in Clustering’, with Rashida Hakim, Christos Papadimitriou, and Mihalis Yannakakis.
We give theoretical guarantees and algorithms for computing the trade-off curve between two optimization objectives of the type {clustering, fairness}.
arxiv.org/pdf/2408.10002
We give theoretical guarantees and algorithms for computing the trade-off curve between two optimization objectives of the type {clustering, fairness}.
arxiv.org/pdf/2408.10002
arxiv.org
December 9, 2024 at 8:21 PM
‘The Fairness-Quality Trade-off in Clustering’, with Rashida Hakim, Christos Papadimitriou, and Mihalis Yannakakis.
We give theoretical guarantees and algorithms for computing the trade-off curve between two optimization objectives of the type {clustering, fairness}.
arxiv.org/pdf/2408.10002
We give theoretical guarantees and algorithms for computing the trade-off curve between two optimization objectives of the type {clustering, fairness}.
arxiv.org/pdf/2408.10002