Michael Kim
5 papers · 2018–2023 · 2 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (2) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (5)
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Hot Topic Early Bird
Conferences
NIPS (3)
ICML (2)
Top co-authors
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
NIPS 2023
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
NIPS 2021
A Distributional Framework For Data Valuation
ICML 2020
Fairness Through Computationally-Bounded Awareness
NIPS 2018
Multicalibration: Calibration for the (Computationally-Identifiable) Masses
ICML 2018