Incremental Learning-to-Learn with Statistical Guarantees

Giulia Denevi, Carlo Ciliberto, Dimitris Stamos +1

In learning-to-learn the goal is to infer a learning algorithm that works well on a class of tasks sampled from an unknown meta distribution. In contrast to previous work on batch…