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ORCIDLuigi Carratino
- > Home > Persons > Luigi Carratino
Publications
- 2022
[c11]Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco:
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. AISTATS 2022: 6554-6572- [c10]Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco:
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization. AISTATS 2022: 7320-7348 - [c9]Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco:
Mean Nyström Embeddings for Adaptive Compressive Learning. AISTATS 2022: 9869-9889 - [c8]Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco:
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. ICML 2022: 2523-2541 - [i12]Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco:
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. CoRR abs/2201.06314 (2022) - [i11]Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco:
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. CoRR abs/2201.12909 (2022) - 2021
- [c7]Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco:
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions. NeurIPS 2021: 6430-6441 - [i10]Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco:
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization. CoRR abs/2106.08598 (2021) - [i9]Luigi Carratino, Stefano Vigogna, Daniele Calandriello, Lorenzo Rosasco:
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions. CoRR abs/2106.12231 (2021) - [i8]Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco:
Mean Nyström Embeddings for Adaptive Compressive Learning. CoRR abs/2110.10996 (2021) - 2020
- [c6]Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco:
Near-linear time Gaussian process optimization with adaptive batching and resparsification. ICML 2020: 1295-1305 - [c5]Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi:
Kernel Methods Through the Roof: Handling Billions of Points Efficiently. NeurIPS 2020 - [i7]Daniele Calandriello, Luigi Carratino
, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco:
Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification. CoRR abs/2002.09954 (2020) - [i5]Giacomo Meanti, Luigi Carratino, Lorenzo Rosasco, Alessandro Rudi:
Kernel methods through the roof: handling billions of points efficiently. CoRR abs/2006.10350 (2020) - 2019
- [c4]Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco:
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret. COLT 2019: 533-557 - [i4]Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco:
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret. CoRR abs/1903.05594 (2019) - 2018
- [c3]Alessandro Rudi, Daniele Calandriello, Luigi Carratino, Lorenzo Rosasco:
On Fast Leverage Score Sampling and Optimal Learning. NeurIPS 2018: 5677-5687 - [c2]Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco:
Learning with SGD and Random Features. NeurIPS 2018: 10213-10224 - [i3]Luigi Carratino, Alessandro Rudi, Lorenzo Rosasco:
Learning with SGD and Random Features. CoRR abs/1807.06343 (2018) - [i2]Alessandro Rudi, Daniele Calandriello, Luigi Carratino, Lorenzo Rosasco:
On Fast Leverage Score Sampling and Optimal Learning. CoRR abs/1810.13258 (2018) - 2017
- [c1]Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco:
FALKON: An Optimal Large Scale Kernel Method. NIPS 2017: 3888-3898 - [i1]Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco:
FALKON: An Optimal Large Scale Kernel Method. CoRR abs/1705.10958 (2017)
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