Luigi Carratino

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 24

Top Topics

Gaussian Process

Kernel Ridge Regression

Top Venues

Publications

Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert
On Mixup Regularization. J. Mach. Learn. Res. 23 (2022)
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. CoRR (2022)
Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization. AISTATS (2022)
Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. AISTATS (2022)
Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Mean Nyström Embeddings for Adaptive Compressive Learning. AISTATS (2022)
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. ICML (2022)
Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. CoRR (2022)
Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization. CoRR (2021)
Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco
Mean Nyström Embeddings for Adaptive Compressive Learning. CoRR (2021)
Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions. CoRR (2021)
Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions. NeurIPS (2021)
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification. CoRR (2020)
Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert
On Mixup Regularization. CoRR (2020)
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
Near-linear time Gaussian process optimization with adaptive batching and resparsification. ICML (2020)
Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi
Kernel methods through the roof: handling billions of points efficiently. CoRR (2020)
Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi
Kernel Methods Through the Roof: Handling Billions of Points Efficiently. NeurIPS (2020)
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret. COLT (2019)
Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret. CoRR (2019)
Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco
Learning with SGD and Random Features. NeurIPS (2018)
Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco
Learning with SGD and Random Features. CoRR (2018)
Alessandro Rudi, Daniele Calandriello, Luigi Carratino, Lorenzo Rosasco
On Fast Leverage Score Sampling and Optimal Learning. CoRR (2018)
Alessandro Rudi, Daniele Calandriello, Luigi Carratino, Lorenzo Rosasco
On Fast Leverage Score Sampling and Optimal Learning. NeurIPS (2018)
Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco
FALKON: An Optimal Large Scale Kernel Method. NIPS (2017)
Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco
FALKON: An Optimal Large Scale Kernel Method. CoRR (2017)