Sfoglia per Serie
Consistent Multitask Learning with Nonlinear Output Relations
2017-01-01 Ciliberto, Carlo; Rudi, Alessandro; Rosasco, Lorenzo; Massimiliano, Pontil
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
2018-01-01 Milios, D; Camoriano, R; Michiardi, P; Rosasco, L; Filippone, M
Empirical risk minimization under fairness constraints
2018-01-01 Donini, M.; Oneto, L.; Ben-David, S.; Shawe-Taylor, J.; Pontil, M.
Exploiting MMD and sinkhorn divergences for fair and transferable representation learning
2020-01-01 Oneto, L.; Donini, M.; Luise, G.; Ciliberto, C.; Maurer, A.; Pontil, M.
Fair regression via plug-in estimator and recalibration
2020-01-01 Chzhen, E.; Denis, C.; Hebiri, M.; Oneto, L.; Pontil, M.
Fair regression with wasserstein barycenters
2020-01-01 Chzhen, E.; Denis, C.; Hebiri, M.; Oneto, L.; Pontil, M.
FALKON: An Optimal Large Scale Kernel Method
2017-01-01 Rudi, Alessandro; Carratino, Luigi; Rosasco, Lorenzo
Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints
2021-01-01 Pintor, M.; Roli, F.; Brendel, W.; Biggio, B.
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
2022-01-01 Pintor, M.; Demetrio, L.; Sotgiu, A.; Demontis, A.; Carlini, N.; Biggio, B.; Roli, F.
Kernel methods through the roof: Handling billions of points efficiently
2020-01-01 Meanti, G.; Carratino, L.; Rosasco, L.; Rudi, A.
Learning the optimal Tikhonov regularizer for inverse problems
2021-01-01 Alberti, G.; Lassas, M.; De Vito, E.; Ratti, L.; Santacesaria, M.
Learning with incremental iterative regularization
2015-01-01 Rosasco, Lorenzo; Villa, Silvia
Learning with SGD and Random Features
2018-01-01 Carratino, L; Rudi, A; Rosasco, L
Less is more: Nyström computational regularization
2015-01-01 Rudi, Alessandro; Camoriano, Raffaello; Rosasco, Lorenzo
Leveraging labeled and unlabeled data for consistent fair binary classification
2019-01-01 Chzhen, E.; Denis, C.; Hebiri, M.; Oneto, L.; Pontil, M.
Manifold Structured Prediction
2018-01-01 Rudi, A; Ciliberto, C; Marconi, Gm; Rosasco, L
On Fast Leverage Score Sampling and Optimal Learning
2018-01-01 Rudi, A; Calandriello, D; Carratino, L; Rosasco, L
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
2021-01-01 Carratino, L.; Vigogna, S.; Calandriello, D.; Rosasco, L.
Statistical and Computational Trade-Offs in Kernel K-Means
2018-01-01 Calandriello, D; Rosasco, L
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Consistent Multitask Learning with Nonlinear Output Relations | 1-gen-2017 | Ciliberto, Carlo; Rudi, Alessandro; Rosasco, Lorenzo; Massimiliano, Pontil | |
| Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification | 1-gen-2018 | Milios, D; Camoriano, R; Michiardi, P; Rosasco, L; Filippone, M | |
| Empirical risk minimization under fairness constraints | 1-gen-2018 | Donini, M.; Oneto, L.; Ben-David, S.; Shawe-Taylor, J.; Pontil, M. | |
| Exploiting MMD and sinkhorn divergences for fair and transferable representation learning | 1-gen-2020 | Oneto, L.; Donini, M.; Luise, G.; Ciliberto, C.; Maurer, A.; Pontil, M. | |
| Fair regression via plug-in estimator and recalibration | 1-gen-2020 | Chzhen, E.; Denis, C.; Hebiri, M.; Oneto, L.; Pontil, M. | |
| Fair regression with wasserstein barycenters | 1-gen-2020 | Chzhen, E.; Denis, C.; Hebiri, M.; Oneto, L.; Pontil, M. | |
| FALKON: An Optimal Large Scale Kernel Method | 1-gen-2017 | Rudi, Alessandro; Carratino, Luigi; Rosasco, Lorenzo | |
| Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints | 1-gen-2021 | Pintor, M.; Roli, F.; Brendel, W.; Biggio, B. | |
| Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples | 1-gen-2022 | Pintor, M.; Demetrio, L.; Sotgiu, A.; Demontis, A.; Carlini, N.; Biggio, B.; Roli, F. | |
| Kernel methods through the roof: Handling billions of points efficiently | 1-gen-2020 | Meanti, G.; Carratino, L.; Rosasco, L.; Rudi, A. | |
| Learning the optimal Tikhonov regularizer for inverse problems | 1-gen-2021 | Alberti, G.; Lassas, M.; De Vito, E.; Ratti, L.; Santacesaria, M. | |
| Learning with incremental iterative regularization | 1-gen-2015 | Rosasco, Lorenzo; Villa, Silvia | |
| Learning with SGD and Random Features | 1-gen-2018 | Carratino, L; Rudi, A; Rosasco, L | |
| Less is more: Nyström computational regularization | 1-gen-2015 | Rudi, Alessandro; Camoriano, Raffaello; Rosasco, Lorenzo | |
| Leveraging labeled and unlabeled data for consistent fair binary classification | 1-gen-2019 | Chzhen, E.; Denis, C.; Hebiri, M.; Oneto, L.; Pontil, M. | |
| Manifold Structured Prediction | 1-gen-2018 | Rudi, A; Ciliberto, C; Marconi, Gm; Rosasco, L | |
| On Fast Leverage Score Sampling and Optimal Learning | 1-gen-2018 | Rudi, A; Calandriello, D; Carratino, L; Rosasco, L | |
| ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions | 1-gen-2021 | Carratino, L.; Vigogna, S.; Calandriello, D.; Rosasco, L. | |
| Statistical and Computational Trade-Offs in Kernel K-Means | 1-gen-2018 | Calandriello, D; Rosasco, L |
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