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A General framework for PAC-Bayes Bounds for Meta-Learning
Meta learning automatically infers an inductive bias, that includes the hyperparameter of the base-learning algorithm, by observing data from a finite number of related tasks.
Conditional Mutual Information-Based Generalization Bound for Meta Learning
Meta-learning optimizes an inductive bias---typically in the form of the hyperparameters of a base-learning algorithm---by observing data from a finite number of related tasks.
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