Sfoglia per Serie  ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS

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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.
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
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
Mostrati risultati da 4 a 18 di 18
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