FALKON: An Optimal Large Scale Kernel Method A Rudi, L Carratino, L Rosasco NeurIPS, 2017 | 232 | 2017 |
Kernel Methods Through the Roof: Handling Billions of Points Efficiently G Meanti, L Carratino, L Rosasco, A Rudi NeurIPS, 2020 | 125 | 2020 |
On Mixup Regularization L Carratino, M Cissé, R Jenatton, JP Vert JMLR, 2022 | 120 | 2022 |
On Fast Leverage Score Sampling and Optimal Learning A Rudi, D Calandriello, L Carratino, L Rosasco NeurIPS, 2018 | 101 | 2018 |
Learning with SGD and Random Features L Carratino, A Rudi, L Rosasco NeurIPS, 2018 | 87 | 2018 |
Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret D Calandriello, L Carratino, A Lazaric, M Valko, L Rosasco COLT, 2019 | 86 | 2019 |
Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification D Calandriello*, L Carratino*, A Lazaric, M Valko, L Rosasco ICML, 2020 | 25 | 2020 |
Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression G Meanti, L Carratino, E De Vito, L Rosasco AISTATS, 2022 | 16 | 2022 |
Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times D Calandriello, L Carratino, A Lazaric, M Valko, L Rosasco ICML, 2022 | 14 | 2022 |
ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions L Carratino*, S Vigogna*, D Calandriello, L Rosasco NeurIPS, 2021 | 10 | 2021 |
Mean Nyström Embeddings for Adaptive Compressive Learning A Chatalic, L Carratino, E De Vito, L Rosasco AISTATS, 2022 | 8 | 2022 |
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization M Rando, L Carratino, S Villa, L Rosasco AISTATS, 2022 | 6 | 2022 |
Advances in Neural Information Processing Systems (NIPS) A Rudi, L Carratino, L Rosasco MIT Press, 2011 | 5 | 2011 |
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 | | |