FALKON: An Optimal Large Scale Kernel Method. - Alessandro Rudi; Luigi Carratino; Lorenzo Rosasco (NIPS, 2017)

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, 2018)

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

Near-linear time Gaussian process optimization with adaptive batching and resparsification. - Daniele Calandriello; Luigi Carratino; Alessandro Lazaric; Michal Valko; Lorenzo Rosasco (ICML, 2020)

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

Resource Efficient Large-Scale Machine Learning. - Luigi Carratino (2020)

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

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization. - Marco Rando; Luigi Carratino; Silvia Villa; Lorenzo Rosasco (CoRR, 2021)

Mean Nyström Embeddings for Adaptive Compressive Learning. - Antoine Chatalic; Luigi Carratino; Ernesto De Vito; Lorenzo Rosasco (AISTATS, 2022)

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

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

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

On Mixup Regularization. - Luigi Carratino; Moustapha Cissé; Rodolphe Jenatton; Jean-Philippe Vert (J. Mach. Learn. Res., 2022)