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stat.ML2026
Toward Simultaneously Optimal Regret in U-Calibration
Rafael Frongillo, Haipeng Luo, Nishant A. Mehta +1
U-calibration studies online forecasting algorithms whose predictions can be consumed by any unknown downstream agent, guaranteeing sublinear regret simultaneously for all proper l…
stat.ML2024
Optimal Multiclass U-Calibration Error and Beyond
Haipeng Luo, Spandan Senapati, Vatsal Sharan
We consider the problem of online multiclass U-calibration, where a forecaster aims to make sequential distributional predictions over classes with low U-calibration error, tha…