ML Anthology

Camoriano, Raffaello

6 publications

ICML 2024 Accelerating Heterogeneous Federated Learning with Closed-Form Classifiers Eros Fanı̀, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
NeurIPSW 2023 Fed3R: Recursive Ridge Regression for Federated Learning with Strong Pre-Trained Models Eros Fanì, Raffaello Camoriano, Barbara Caputo, Marco Ciccone
NeurIPS 2018 Dirichlet-Based Gaussian Processes for Large-Scale Calibrated Classification Dimitrios Milios, Raffaello Camoriano, Pietro Michiardi, Lorenzo Rosasco, Maurizio Filippone
ICML 2016 Generalization Properties and Implicit Regularization for Multiple Passes SGM Junhong Lin, Raffaello Camoriano, Lorenzo Rosasco
AISTATS 2016 NYTRO: When Subsampling Meets Early Stopping Raffaello Camoriano, Tomás Angles, Alessandro Rudi, Lorenzo Rosasco
NeurIPS 2015 Less Is More: Nyström Computational Regularization Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco