Research

Papers/Preprints

authors listed alphabetically, * indicates equal contribution

Ranking After Dimensionality Reduction: Fairness and Applications to Mechanism Design.
E.Fedorova, M. Kitch, C. Podimata In Submission, 2026

Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning.
V. Efthymiou*, E.Fedorova*, C. Podimata ICML, 2026

Can Users Fix Algorithms? A Game-Theoretic Analysis of Collective Content Amplification in Recommender Systems.
E.Fedorova, M. Kitch, C. Podimata arxiv, 2026
poster

Obscurable Fishermen.
C. Daskalakis, E.Fedorova, C. Podimata NeurIPS Reliable ML workshop paper, 2025
poster

Editing a Woman’s Voice.
A. Costello, E. Fedorova, Z. Jin, R. Mihalcea. arxiv, 2022

Does Tiktok show viewers the content relevant to them?
E. Fedorova UC Berkeley Senior Thesis, 2021

Selected Talks

Desirable Effort Fairness and Optimality Trade-offs in Strategic Learning
Oral Presentation @ EC Gender Inclusion Workshop | July 2026

Altrustic Collective Action in Recommender Systems
Oral Presentation @ ACA NeurIPS Worskhop | Dec 2025
Oral Presentation @ MML | Oct 2025
Slides

Altruism in Recommender Systems
Oral Presentation @ EC Gender Inclusion Workshop | July 2025
Slides

Other Media

Collective Altruism in Recommender Systems
Podcast Episode with Data Skeptic | Feb 2026
On Spotify and everywhere else!

Hidden Explicit Bias: Estimating Algorithms Under Self-Selection
MIT Course Project Final Paper