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Luigi Carratino
Luigi Carratino
Research Scientist, Yahoo! Ads Research
Bestätigte E-Mail-Adresse bei yahooinc.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
FALKON: An Optimal Large Scale Kernel Method
A Rudi, L Carratino, L Rosasco
NeurIPS, 2017
2492017
On Mixup Regularization
L Carratino, M Cissé, R Jenatton, JP Vert
JMLR, 2022
1382022
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
G Meanti, L Carratino, L Rosasco, A Rudi
NeurIPS, 2020
1362020
On Fast Leverage Score Sampling and Optimal Learning
A Rudi, D Calandriello, L Carratino, L Rosasco
NeurIPS, 2018
1122018
Learning with SGD and Random Features
L Carratino, A Rudi, L Rosasco
NeurIPS, 2018
942018
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret
D Calandriello, L Carratino, A Lazaric, M Valko, L Rosasco
COLT, 2019
922019
Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification
D Calandriello*, L Carratino*, A Lazaric, M Valko, L Rosasco
ICML, 2020
262020
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression
G Meanti, L Carratino, E De Vito, L Rosasco
AISTATS, 2022
222022
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times
D Calandriello, L Carratino, A Lazaric, M Valko, L Rosasco
ICML, 2022
172022
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions
L Carratino*, S Vigogna*, D Calandriello, L Rosasco
NeurIPS, 2021
102021
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
62022
Resource Efficient Large-Scale Machine Learning
L Carratino
Università degli studi di Genova, 2020
2020
T1: Optimization in Machine Learning
D Calandriello, L Carratino, A Lazaric, M Valko, L Rosasco
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