Serafina Kamp

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 interests are in modeling the social and economic impacts of data-driven predictive algorithms using algorithmic game theory and online learning. I'm especially interested in labor market dynamics, including bargaining games, and understanding the mechanisms that create or amplify inequalities between groups of people here.

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