Marco Rando

According to our database, Marco Rando authored at least 14 papers between 2021 and 2026.

Collaborative distances:

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

2026

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

Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli

IEEE Trans. Inf. Forensics Secur., 2026

2025

A Structured Tour of Optimization with Finite Differences.

Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa

CoRR, May, 2025

Q-learning with temporal memory to navigate turbulence - Environment 6 (Part 2).

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

Dataset, January, 2025

Q-learning with temporal memory to navigate turbulence - Environment 6 (Part 1).

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

Dataset, January, 2025

Q-learning with temporal memory to navigate turbulence - Environment 5.

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

Dataset, January, 2025

2024

Stochastic zeroth order descent with structured directions.

Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco

Comput. Optim. Appl., December, 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