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Dawid, A

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Unified Approach for Weakly Supervised Multicalibration

stat.ML · 2026-05-11 · unverdicted · novelty 6.0

A unified framework uses contamination-matrix risk rewrites and witness-based calibration constraints to estimate and correct multicalibration under weak supervision, providing finite-sample guarantees and the WLMC post-hoc recalibration algorithm.

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  • Unified Approach for Weakly Supervised Multicalibration stat.ML · 2026-05-11 · unverdicted · none · ref 6

    A unified framework uses contamination-matrix risk rewrites and witness-based calibration constraints to estimate and correct multicalibration under weak supervision, providing finite-sample guarantees and the WLMC post-hoc recalibration algorithm.