Serafina Kamp
I am a PhD candidate at the University of Michigan where I'm fortunate to be advised by Ben Fish and Elizabeth Bondi-Kelly. My research interest is in modeling the social and economic impacts of data-driven predictive algorithms and, particularly, how such algorithms create, perpetuate, or amplify inequalities along these dimensions. I've created models using online learning and algorithmic game theory, and I'm particularly interested in labor market dynamics and bargaining games.
Access my CV and Google Scholar Profile
Papers
Working Papers
- Last-Iterate Convergence of No-Regret Learning for Equilibria in Bargaining Games(arxiv)
S Kamp, R Liebman, B Fish (Under Review)
Conference Papers
- Equal Merit Does Not Imply Equality: Discrimination at Equilibrium in a Hiring market with Symmetric Agents(arxiv)
S Kamp, B Fish (AAAI 2025, to appear)
Workshop Papers
- Beliefs, Relationships, and Equality: An Alternative Source of Discrimination in a Symmetric Hiring Market via Threats(pdf,link)
S Kamp, T Nkeng, V Riquelme, B Fish
International Workshops of ECML PKDD 2023 - Robustness of Fairness: An Experimental Analysis(pdf,link)
S Kamp, ALL Zhao, S Kutty
International Workshops of ECML PKDD 2021
Journal Papers
- Tablext: A combined neural network and heuristic based table extractor(link)
Z Colter, M Fayazi, Z Benameur-El Youbi, S Kamp, S Yu, R Dreslinski
Array 15, 100220
Preprints
- Open Information Extraction: A Review of Baseline Techniques, Approaches, and Applications(arxiv)
S Kamp, M Fayazi, Z Benameur-El, S Yu, R Dreslinski
arXiv preprint arXiv:2310.11644