RANDO, MARCO
RANDO, MARCO
100023 - Dipartimento di Informatica, bioingegneria, robotica e ingegneria dei sistemi
A fast and flexible machine learning approach to data quality monitoring
2022-01-01 Grosso, Gaia; Lai, Nicolò; Letizia, Marco; Pazzini, Jacopo; Rando, Marco; Wulzer, Andrea; Zanetti, Marco
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
2022-01-01 Rando, M.; Carratino, L.; Villa, S.; Rosasco, L.
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization
2023-01-01 Rando, M.; Molinari, C.; Villa, S.; Rosasco, L.
Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques
2024-01-01 Sartore, C.; Rando, M.; Romualdi, G.; Molinari, C.; Rosasco, L.; Pucci, D.
Efficient kernel methods for model-independent new physics searches
2021-01-01 Letizia, Marco; Losapio, Gianvito; Rando, Marco; Grosso, Gaia; Rosasco, Lorenzo
Efficient Unsupervised Learning for Plankton Images
2022-01-01 Alfano, Paolo Didier; Rando, Marco; Letizia, Marco; Odone, Francesca; Rosasco, Lorenzo; Pastore, Vito Paolo
Fast kernel methods for data quality monitoring as a goodness-of-fit test
2023-01-01 Grosso, G.; Lai, N.; Letizia, M.; Pazzini, J.; Rando, M.; Rosasco, L.; Wulzer, A.; Zanetti, M.
Learning new physics efficiently with nonparametric methods
2022-01-01 Letizia, M.; Losapio, G.; Rando, M.; Grosso, G.; Wulzer, A.; Pierini, M.; Zanetti, M.; Rosasco, L.
Stochastic Zeroth Order Descent with Structured Directions
2024-01-01 Rando, M.; Molinari, C.; Villa, S.; Rosasco, L.
Towards Efficient Black-box Optimization
2024-05-31 Rando, Marco
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| A fast and flexible machine learning approach to data quality monitoring | 1-gen-2022 | Grosso, Gaia; Lai, Nicolò; Letizia, Marco; Pazzini, Jacopo; Rando, Marco; Wulzer, Andrea; Zanetti, Marco | |
| Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization | 1-gen-2022 | Rando, M.; Carratino, L.; Villa, S.; Rosasco, L. | |
| An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization | 1-gen-2023 | Rando, M.; Molinari, C.; Villa, S.; Rosasco, L. | |
| Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques | 1-gen-2024 | Sartore, C.; Rando, M.; Romualdi, G.; Molinari, C.; Rosasco, L.; Pucci, D. | |
| Efficient kernel methods for model-independent new physics searches | 1-gen-2021 | Letizia, Marco; Losapio, Gianvito; Rando, Marco; Grosso, Gaia; Rosasco, Lorenzo | |
| Efficient Unsupervised Learning for Plankton Images | 1-gen-2022 | Alfano, Paolo Didier; Rando, Marco; Letizia, Marco; Odone, Francesca; Rosasco, Lorenzo; Pastore, Vito Paolo | |
| Fast kernel methods for data quality monitoring as a goodness-of-fit test | 1-gen-2023 | Grosso, G.; Lai, N.; Letizia, M.; Pazzini, J.; Rando, M.; Rosasco, L.; Wulzer, A.; Zanetti, M. | |
| Learning new physics efficiently with nonparametric methods | 1-gen-2022 | Letizia, M.; Losapio, G.; Rando, M.; Grosso, G.; Wulzer, A.; Pierini, M.; Zanetti, M.; Rosasco, L. | |
| Stochastic Zeroth Order Descent with Structured Directions | 1-gen-2024 | Rando, M.; Molinari, C.; Villa, S.; Rosasco, L. | |
| Towards Efficient Black-box Optimization | 31-mag-2024 | Rando, Marco |