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Calibration and Internal no-Regret with Partial Monitoring

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arxiv 1006.1746 v1 pith:L4JMDYCR submitted 2010-06-09 cs.GT cs.LGstat.ML

classification cs.GTcs.LGstat.ML
keywords strategiesgameinternalregretauxiliarycalibratedmonitoringpartial
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abstract

Calibrated strategies can be obtained by performing strategies that have no internal regret in some auxiliary game. Such strategies can be constructed explicitly with the use of Blackwell's approachability theorem, in an other auxiliary game. We establish the converse: a strategy that approaches a convex $B$-set can be derived from the construction of a calibrated strategy. We develop these tools in the framework of a game with partial monitoring, where players do not observe the actions of their opponents but receive random signals, to define a notion of internal regret and construct strategies that have no such regret.

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  1. Adaptive Conformal Inference through the Lens of Blackwell Approachability

    stat.ML 2025-10 conditional novelty 6.0 of 10

    A calibration-based approachability algorithm (BOACI) provably achieves asymptotic coverage guarantees under arbitrary sequences and recovers classical conformal efficiency under exchangeability or restricted drift.

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