Следене
Riccardo Grazzi
Заглавие
Позовавания
Позовавания
Година
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
8972018
On the iteration complexity of hypergradient computation
R Grazzi, L Franceschi, M Pontil, S Salzo
International Conference on Machine Learning, 3748-3758, 2020
2202020
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
1392019
Is mamba capable of in-context learning?
R Grazzi, J Siems, S Schrodi, T Brox, F Hutter
AutoML Conference 2024, 2024
402024
Convergence properties of stochastic hypergradients
R Grazzi, M Pontil, S Salzo
International Conference on Artificial Intelligence and Statistics, 3826-3834, 2021
312021
Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start
R Grazzi, M Pontil, S Salzo
Journal of Machine Learning Research 24 (167), 1-37, 2023
162023
Group meritocratic fairness in linear contextual bandits
R Grazzi, A Akhavan, JIF Falk, L Cella, M Pontil
Advances in Neural Information Processing Systems 35, 24392-24404, 2022
132022
Learning invariant representations of time-homogeneous stochastic dynamical systems
VR Kostic, P Novelli, R Grazzi, K Lounici, M Pontil
arXiv preprint arXiv:2307.09912, 2023
11*2023
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
62021
Unlocking state-tracking in linear rnns through negative eigenvalues
R Grazzi, J Siems, JKH Franke, A Zela, F Hutter, M Pontil
arXiv preprint arXiv:2411.12537, 2024
42024
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
42018
Nonsmooth implicit differentiation: Deterministic and stochastic convergence rates
R Grazzi, M Pontil, S Salzo
ICML 2024, 2024
32024
DeltaProduct: Increasing the Expressivity of DeltaNet Through Products of Householders
J Siems, T Carstensen, A Zela, F Hutter, M Pontil, R Grazzi
arXiv preprint arXiv:2502.10297, 2025
2025
Principled and Efficient Bilevel Optimization for Machine Learning
R Grazzi
UCL (University College London), 2023
2023
Smooth Optimization of Orthogonal Wavelet Basis
J Frecon, R Grazzi, S Salzo, M Pontil, F Saint-Etienne-du-Rouvray
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Статии 1–15