Bayes-Sufficient Representations in Supervised Learning

In three linesTheoretical paper defining Bayes-sufficient representations in supervised learning. A representation is Bayes-sufficient if a prediction head can use it to implement a Bayes-optimal action rule. The framework connects sufficiency to property elicitation and shows that loss determines the relevant information required.

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