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Iterative regularization in classification via hinge loss diagonal descent


Dec 24, 2022
Vassilis Apidopoulos, Tomaso Poggio, Lorenzo Rosasco, Silvia Villa

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Regularized ERM on random subspaces


Dec 08, 2022
Andrea Della Vecchia, Ernesto De Vito, Lorenzo Rosasco

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* Submission withdrawn. Readers should please refer to arXiv:2006.10016 

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Fine-tuning or top-tuning? Transfer learning with pretrained features and fast kernel methods


Sep 16, 2022
Paolo Didier Alfano, Vito Paolo Pastore, Lorenzo Rosasco, Francesca Odone

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Efficient Unsupervised Learning for Plankton Images


Sep 14, 2022
Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore

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* 13 pages. Accepted at the 26TH International Conference on Pattern Recognition (ICPR 2022) 

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Approximate Bayesian Neural Operators: Uncertainty Quantification for Parametric PDEs


Aug 02, 2022
Emilia Magnani, Nicholas Krämer, Runa Eschenhagen, Lorenzo Rosasco, Philipp Hennig

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Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot


Jun 27, 2022
Federico Ceola, Elisa Maiettini, Giulia Pasquale, Giacomo Meanti, Lorenzo Rosasco, Lorenzo Natale

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* \copyright 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works 

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Stochastic Zeroth order Descent with Structured Directions


Jun 10, 2022
Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco

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AdaTask: Adaptive Multitask Online Learning


May 31, 2022
Pierre Laforgue, Andrea Della Vecchia, Nicolò Cesa-Bianchi, Lorenzo Rosasco

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Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces


May 27, 2022
Vladimir Kostic, Pietro Novelli, Andreas Maurer, Carlo Ciliberto, Lorenzo Rosasco, Massimiliano Pontil

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* Main text: 9 pages, 1 figure, 1 table. Supplementary informations: 15 pages, 3 figures, 1 table 

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Learning new physics efficiently with nonparametric methods


Apr 05, 2022
Marco Letizia, Gianvito Losapio, Marco Rando, Gaia Grosso, Andrea Wulzer, Maurizio Pierini, Marco Zanetti, Lorenzo Rosasco

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* 22 pages, 13 figures 

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