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.

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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
Serafina Kamp