Luigi Carratino

25 papers A* 7A 3Journal 13Unranked 1

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