Luigi Carratino

According to our database, Luigi Carratino authored at least 14 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

On Mixup Regularization.

Luigi Carratino, Moustapha Cissé, Rodolphe Jenatton, Jean-Philippe Vert

J. Mach. Learn. Res., 2022

Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times.

Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco

Proceedings of the International Conference on Machine Learning, 2022

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization.

Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression.

Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Mean Nyström Embeddings for Adaptive Compressive Learning.

Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization.

Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco

CoRR, 2021

ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions.

Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Resource Efficient Large-Scale Machine Learning.

Luigi Carratino

PhD thesis, 2020

Kernel Methods Through the Roof: Handling Billions of Points Efficiently.

Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Near-linear time Gaussian process optimization with adaptive batching and resparsification.

Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret.

Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco

Proceedings of the Conference on Learning Theory, 2019

2018

On Fast Leverage Score Sampling and Optimal Learning.

Alessandro Rudi, Daniele Calandriello, Luigi Carratino, Lorenzo Rosasco

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning with SGD and Random Features.

Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

FALKON: An Optimal Large Scale Kernel Method.

Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017