Marco Rando

According to our database, Marco Rando authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Stochastic zeroth order descent with structured directions.

Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco

Comput. Optim. Appl., December, 2024

A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection.

Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli

CoRR, 2024

Q-Learning to navigate turbulence without a map.

Marco Rando, Martin James, Alessandro Verri, Lorenzo Rosasco, Agnese Seminara

CoRR, 2024

Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques.

Carlotta Sartore, Marco Rando, Giulio Romualdi, Cesare Molinari, Lorenzo Rosasco, Daniele Pucci

Proceedings of the 23rd IEEE-RAS International Conference on Humanoid Robots, 2024

2023

Fast kernel methods for data quality monitoring as a goodness-of-fit test.

Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti

Mach. Learn. Sci. Technol., September, 2023

An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization.

Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Learning new physics efficiently with nonparametric methods.

Marco Letizia, Gianvito Losapio, Marco Rando, Gaia Grosso, Andrea Wulzer, Maurizio Pierini, Marco Zanetti, Lorenzo Rosasco

CoRR, 2022

Efficient Unsupervised Learning for Plankton Images.

Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization.

Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization.

Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco

CoRR, 2021