Michael Kim

5 papers · 2018–2023 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) ICML (2)

Top co-authors

Omer Reingold (3) Guy Rothblum (2) Amirata Ghorbani (1) Shengjia Zhao (1) Ursula Hebert-Johnson (1) Stefano Ermon (1) Roshni Sahoo (1) Tengyu Ma (1) James Zou (1) Parikshit Gopalan (1)

Research topics

Machine Learning (5) Artificial Intelligence (3) Application Areas (3) Optimization & Theory (3) Core AI (2) Core Methods (2) Bayesian & Probabilistic (1)

Keywords

algorithmic fairness (1) game theory (1) data valuation (1) fair classification (1) multi-class classification (1) convex loss (1) probability calibration (1) shapley value (1) protected group (1) similarity metric (1) prediction accuracy (1) distribution calibration (1) discrimination mitigation (1) neural network (1) statistical stability (1) data market (1) decision calibration (1) metric multifairness (1) similar subpopulation (1) swap agnostic learning (1)

Papers

Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration NeurIPS 2023 Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration NeurIPS 2021 A Distributional Framework For Data Valuation ICML 2020 Fairness Through Computationally-Bounded Awareness NeurIPS 2018 Multicalibration: Calibration for the (Computationally-Identifiable) Masses ICML 2018