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Riccardo Grazzi
Riccardo Grazzi
IIT, UCL
Bestätigte E-Mail-Adresse bei iit.it
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Zitiert von
Zitiert von
Jahr
Bilevel programming for hyperparameter optimization and meta-learning
L Franceschi, P Frasconi, S Salzo, R Grazzi, M Pontil
International Conference on Machine Learning, 1568-1577, 2018
4572018
Learning-to-learn stochastic gradient descent with biased regularization
G Denevi, C Ciliberto, R Grazzi, M Pontil
International Conference on Machine Learning, 1566-1575, 2019
942019
On the iteration complexity of hypergradient computation
R Grazzi, L Franceschi, M Pontil, S Salzo
International Conference on Machine Learning, 3748-3758, 2020
892020
Convergence properties of stochastic hypergradients
R Grazzi, M Pontil, S Salzo
International Conference on Artificial Intelligence and Statistics, 3826-3834, 2021
152021
Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning
L Franceschi, R Grazzi, M Pontil, S Salzo, P Frasconi
AutoML Workshop ICML 2018, 2018
32018
Bilevel optimization with a lower-level contraction: Optimal sample complexity without warm-start
R Grazzi, M Pontil, S Salzo
arXiv preprint arXiv:2202.03397, 2022
12022
Meta-Forecasting by combining Global Deep Representations with Local Adaptation
R Grazzi, V Flunkert, D Salinas, T Januschowski, M Seeger, ...
arXiv preprint arXiv:2111.03418, 2021
12021
Group Meritocratic Fairness in Linear Contextual Bandits
R Grazzi, A Akhavan, JIT Falk, L Cella, M Pontil
arXiv preprint arXiv:2206.03150, 2022
2022
Smooth Optimization of Orthogonal Wavelet Basis
J Frecon, R Grazzi, S Salzo, M Pontil, F Saint-Etienne-du-Rouvray
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