PONTIL, MASSIMILIANO
PONTIL, MASSIMILIANO
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Risultati 1 - 5 di 5 (tempo di esecuzione: 0.016 secondi).
Empirical risk minimization under fairness constraints
2018-01-01 Donini, M.; Oneto, L.; Ben-David, S.; Shawe-Taylor, J.; Pontil, M.
Estimating Koopman operators with sketching to provably learn large scale dynamical systems
2023-01-01 Meanti, G.; Kostic, V. R.; Pontil, M.; Chatalic, A.; Novelli, P.; Rosasco, L.
General Fair Empirical Risk Minimization
2020-01-01 Oneto, L.; Donini, M.; Pontil, M.
Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces
2022-01-01 Kostic, V. R.; Maurer, A.; Rosasco, L.; Novelli, P.; Ciliberto, C.; Pontil, M.
Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy
2020-01-01 Oneto, L.; Donini, M.; Pontil, M.; Shawe-Taylor, J.
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Empirical risk minimization under fairness constraints | 1-gen-2018 | Donini, M.; Oneto, L.; Ben-David, S.; Shawe-Taylor, J.; Pontil, M. | |
| Estimating Koopman operators with sketching to provably learn large scale dynamical systems | 1-gen-2023 | Meanti, G.; Kostic, V. R.; Pontil, M.; Chatalic, A.; Novelli, P.; Rosasco, L. | |
| General Fair Empirical Risk Minimization | 1-gen-2020 | Oneto, L.; Donini, M.; Pontil, M. | |
| Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces | 1-gen-2022 | Kostic, V. R.; Maurer, A.; Rosasco, L.; Novelli, P.; Ciliberto, C.; Pontil, M. | |
| Randomized learning and generalization of fair and private classifiers: From PAC-Bayes to stability and differential privacy | 1-gen-2020 | Oneto, L.; Donini, M.; Pontil, M.; Shawe-Taylor, J. |