| 2022 | AISTATS | Mean Nystrm Embeddings for Adaptive Compressive Learning. | Antoine Chatalic, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco |
| 2022 | AISTATS | Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression. | Giacomo Meanti, Luigi Carratino, Ernesto De Vito, Lorenzo Rosasco |
| 2022 | AISTATS | Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization. | Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco |
| 2022 | ICML | Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times. | Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco |
| 2020 | ICML | Near-linear time Gaussian process optimization with adaptive batching and resparsification. | Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco |
| 2019 | COLT | Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret. | Daniele Calandriello, Luigi Carratino, Alessandro Lazaric, Michal Valko, Lorenzo Rosasco |