78 citations · 82 across the 9 of their papers we have counts for
9 papers
Scenario theory for multi-criteria data-driven decision making
Simone Garatti, Lucrezia Manieri, Alessandro Falsone +3
The scenario approach provides a powerful data-driven framework for designing solutions under uncertainty with rigorous probabilistic robustness guarantees. Existing theory, howeve…
Scenario Approach with Post-Design Certification of User-Specified Properties
Algo Carè, Marco C. Campi, Simone Garatti
The scenario approach is an established data-driven design framework that comes equipped with a powerful theory linking design complexity to generalization properties. In this appr…
A Scenario-Based Approach for Stochastic Economic Model Predictive Control with an Expected Shortfall Constraint
Alireza Arastou, Algo Carè, Ye Wang +2
This paper presents a novel approach to stochastic economic model predictive control (SEMPC) that minimizes average economic cost while satisfying an empirical expected shortfall (…
Risk Analysis and Design Against Adversarial Actions
Marco C. Campi, Algo Carè, Luis G. Crespo +2
Learning models capable of providing reliable predictions in the face of adversarial actions has become a central focus of the machine learning community in recent years. This chal…
Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version)
Algo Carè, Erik Weyer, Balázs Cs. Csáji +1
Sign-Perturbed Sums (SPS) is a system identification method that constructs confidence regions for the unknown system parameters. In this paper, we study SPS for ARX systems, and e…
Estimation of Accurate and Calibrated Uncertainties in Deterministic models
Enrico Camporeale, Algo Carè
In this paper we focus on the problem of assigning uncertainties to single-point predictions generated by a deterministic model that outputs a continuous variable. This problem app…