Seuraa
Luigi Carratino
Luigi Carratino
Research Scientist, Yahoo Research
Vahvistettu sähköpostiosoite verkkotunnuksessa yahooinc.com - Kotisivu
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Vuosi
FALKON: An Optimal Large Scale Kernel Method
A Rudi, L Carratino, L Rosasco
NeurIPS, 2017
2092017
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
G Meanti, L Carratino, L Rosasco, A Rudi
NeurIPS, 2020
1012020
On Mixup Regularization
L Carratino, M Cissé, R Jenatton, JP Vert
JMLR, 2022
942022
On Fast Leverage Score Sampling and Optimal Learning
A Rudi, D Calandriello, L Carratino, L Rosasco
NeurIPS, 2018
872018
Learning with SGD and Random Features
L Carratino, A Rudi, L Rosasco
NeurIPS, 2018
782018
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
D Calandriello, L Carratino, A Lazaric, M Valko, L Rosasco
COLT, 2019
772019
Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification
D Calandriello*, L Carratino*, A Lazaric, M Valko, L Rosasco
ICML, 2020
232020
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
D Calandriello, L Carratino, A Lazaric, M Valko, L Rosasco
ICML, 2022
142022
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
G Meanti, L Carratino, E De Vito, L Rosasco
AISTATS, 2022
122022
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
L Carratino*, S Vigogna*, D Calandriello, L Rosasco
NeurIPS, 2021
82021
Mean Nyström Embeddings for Adaptive Compressive Learning
A Chatalic, L Carratino, E De Vito, L Rosasco
AISTATS, 2022
72022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
M Rando, L Carratino, S Villa, L Rosasco
AISTATS, 2022
52022
T1: Optimization in Machine Learning
D Calandriello, L Carratino, A Lazaric, M Valko, L Rosasco
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Artikkelit 1–13