Carratino, Luigi

12 publications

AISTATS 2022 Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco

AISTATS 2022 Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco

AISTATS 2022 Mean Nyström Embeddings for Adaptive Compressive Learning Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco

JMLR 2022 On Mixup Regularization Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert

ICML 2022 Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco

NeurIPS 2021 ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco

NeurIPS 2020 Kernel Methods Through the Roof: Handling Billions of Points Efficiently Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi

ICML 2020 Near-Linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco

COLT 2019 Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco

NeurIPS 2018 Learning with SGD and Random Features Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco

NeurIPS 2018 On Fast Leverage Score Sampling and Optimal Learning Alessandro Rudi, Daniele Calandriello, Luigi Carratino, Lorenzo Rosasco

NeurIPS 2017 FALKON: An Optimal Large Scale Kernel Method Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco