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Calibeating Made Simple: Yurong Chen, Zhiyi Huang, Michael I. Jordan, Haipeng Luo by Tuong Cao Gia is a document available to read on EtoBox.

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The document discusses calibeating, a method for improving the reliability of probabilistic forecasts by minimizing cumulative losses and matching an informativeness-based benchmark. It establishes that calibeating is equivalent to regret minimization and provides new optimal rates for various loss types, including multi-calibeating and simultaneous calibration. The authors present a modular approach to derive upper and lower bounds, enhancing existing results and introducing new algorithms for achieving bo

Author

Tuong Cao Gia

Language

EN