Marco Rando

16 papers A* 1A 1B 1Journal 12Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection.
IEEE Trans. Inf. Forensics Secur.
Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli
2025 J jnl
A Structured Tour of Optimization with Finite Differences.
CoRR
Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
2024 J jnl
A New Formulation for Zeroth-Order Optimization of Adversarial EXEmples in Malware Detection.
CoRR
Marco Rando, Luca Demetrio, Lorenzo Rosasco, Fabio Roli
2024 — conf
Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques.
Humanoids
Carlotta Sartore, Marco Rando, Giulio Romualdi, Cesare Molinari, Lorenzo Rosasco, Daniele Pucci
2024 J jnl
Automatic Gain Tuning for Humanoid Robots Walking Architectures Using Gradient-Free Optimization Techniques.
CoRR
Carlotta Sartore, Marco Rando, Giulio Romualdi, Cesare Molinari, Lorenzo Rosasco, Daniele Pucci
2024 J jnl
Q-Learning to navigate turbulence without a map.
CoRR
Marco Rando, Martin James, Alessandro Verri, Lorenzo Rosasco, Agnese Seminara
2024 J jnl
Stochastic zeroth order descent with structured directions.
Comput. Optim. Appl.
Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco
2023 A* conf
An Optimal Structured Zeroth-order Algorithm for Non-smooth Optimization.
NeurIPS
Marco Rando, Cesare Molinari, Lorenzo Rosasco, Silvia Villa
2023 J jnl
Fast kernel methods for Data Quality Monitoring as a goodness-of-fit test.
CoRR
Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti
2023 J jnl
Fast kernel methods for data quality monitoring as a goodness-of-fit test.
Mach. Learn. Sci. Technol.
Gaia Grosso, Nicolò Lai, Marco Letizia, Jacopo Pazzini, Marco Rando, Lorenzo Rosasco, Andrea Wulzer, Marco Zanetti
2022 A conf
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization.
AISTATS
Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco
2022 B conf
Efficient Unsupervised Learning for Plankton Images.
ICPR
Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
2022 J jnl
Efficient Unsupervised Learning for Plankton Images.
CoRR
Paolo Didier Alfano, Marco Rando, Marco Letizia, Francesca Odone, Lorenzo Rosasco, Vito Paolo Pastore
2022 J jnl
Learning new physics efficiently with nonparametric methods.
CoRR
Marco Letizia, Gianvito Losapio, Marco Rando, Gaia Grosso, Andrea Wulzer, Maurizio Pierini, Marco Zanetti, Lorenzo Rosasco
2022 J jnl
Stochastic Zeroth order Descent with Structured Directions.
CoRR
Marco Rando, Cesare Molinari, Silvia Villa, Lorenzo Rosasco
2021 J jnl
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domain by Adaptive Discretization.
CoRR
Marco Rando, Luigi Carratino, Silvia Villa, Lorenzo Rosasco