105 citations · 199 across the 9 of their papers we have counts for
3 papers · 1 filter
A Bridge Between Hyperparameter Optimization and Learning-to-learn
Luca Franceschi, Michele Donini, Paolo Frasconi +1
We consider a class of a nested optimization problems involving inner and outer objectives. We observe that by taking into explicit account the optimization dynamics for the inner…
Shift Aggregate Extract Networks
Francesco Orsini, Daniele Baracchi, Paolo Frasconi
We introduce an architecture based on deep hierarchical decompositions to learn effective representations of large graphs. Our framework extends classic R-decompositions used in ke…
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi, Michele Donini, Paolo Frasconi +1
We study two procedures (reverse-mode and forward-mode) for computing the gradient of the validation error with respect to the hyperparameters of any iterative learning algorithm s…