| Learning new physics efficiently with nonparametric methods M Letizia, G Losapio, M Rando, G Grosso, A Wulzer, M Pierini, M Zanetti, ... The European Physical Journal C 82 (10), 879, 2022 | 25 | 2022 |
| Efficient unsupervised learning for plankton images PD Alfano, M Rando, M Letizia, F Odone, L Rosasco, VP Pastore 2022 26th International Conference on Pattern Recognition (ICPR), 1314-1321, 2022 | 6 | 2022 |
| Ada-bkb: Scalable gaussian process optimization on continuous domains by adaptive discretization M Rando, L Carratino, S Villa, L Rosasco International Conference on Artificial Intelligence and Statistics, 7320-7348, 2022 | 6 | 2022 |
| An optimal structured zeroth-order algorithm for non-smooth optimization M Rando, C Molinari, L Rosasco, S Villa Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Stochastic zeroth order descent with structured directions M Rando, C Molinari, S Villa, L Rosasco arXiv preprint arXiv:2206.05124, 2022 | 3 | 2022 |
| Efficient kernel methods for model-independent new physics searches M Letizia, G Losapio, M Rando, G Grosso, L Rosasco Proceedings of the deep learning for physical sciences workshop at NeurIPS, 2021 | 2 | 2021 |
| Fast kernel methods for data quality monitoring as a goodness-of-fit test G Grosso, N Lai, M Letizia, J Pazzini, M Rando, L Rosasco, A Wulzer, ... Machine Learning: Science and Technology 4 (3), 035029, 2023 | 1 | 2023 |
| A fast and flexible machine learning approach to data quality monitoring G Grosso, N Lai, M Letizia, J Pazzini, M Rando, A Wulzer, M Zanetti arXiv preprint arXiv:2301.08917, 2023 | 1 | 2023 |
| Fast classifier-based GoF test for online data quality monitoring M Pierini, M Rando, L Rosasco, A Wulzer, MZ UniPd | | |
