The error of meta-ERM is governed exactly by the epsilon dual Helly number: finite values give finite sample-per-task sufficiency, infinite values force a 1/m lower bound.
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On the ERM Principle in Meta-Learning
The error of meta-ERM is governed exactly by the epsilon dual Helly number: finite values give finite sample-per-task sufficiency, infinite values force a 1/m lower bound.