26 citations · 30 across the 5 of their papers we have counts for
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stat.ML2025
Near-Optimal Algorithms for Omniprediction
Princewill Okoroafor, Robert Kleinberg, Michael P. Kim
Omnipredictors are simple prediction functions that encode loss-minimizing predictions with respect to a hypothesis class , simultaneously for every loss function within a class…
stat.ML2021★ 4 cited
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
Shengjia Zhao, Michael P. Kim, Roshni Sahoo +2
When facing uncertainty, decision-makers want predictions they can trust. A machine learning provider can convey confidence to decision-makers by guaranteeing their predictions are…