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The Sample Complexity of Multicalibration with an ERM Oracle

Okoroafor, Princewill
arXiv (All) · Papers
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computer-science-and-game-theorydata-structures-and-algorithmsmachine-learning
A predictor is multicalibrated with respect to a class of subpopulations (formally, of functions on the inputs, called auditors) if, for every subpopulation in the class and every value the predictor outputs, the average outcome among the members of that subpopulation who receive that value is close
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