Randomized min-max optimization: The exact risk of multiple cost levels. - Algo Carè; Simone Garatti; Marco C. Campi (CDC/ECC, 2011)

Least squares estimates and the coverage of least squares costs. - Algo Carè; Simone Garatti; Marco C. Campi (CDC, 2013)

Random Convex Programs with L1-Regularization: Sparsity and Generalization. - Marco C. Campi; Algo Carè (SIAM J. Control. Optim., 2013)

Empirical cost distribution: A scenario approach to the construction of probability boxes with application to channel equalization. - Algo Carè; Simone Garatti; Marco C. Campi (ECC, 2014)

FAST - Fast Algorithm for the Scenario Technique. - Algo Carè; Simone Garatti; Marco C. Campi (Oper. Res., 2014)

A randomised approach to flood control using Value-at-Risk. - Hasan Arshad Nasir; Algo Carè; Erik Weyer (CDC, 2015)

Sign-Perturbed Sums (SPS) with instrumental variables for the identification of ARX systems. - Valerio Volpe; Balázs Csanád Csáji; Algo Carè; Erik Weyer; Marco C. Campi (CDC, 2015)

Scenario Min-Max Optimization and the Risk of Empirical Costs. - Algo Carè; Simone Garatti; Marco C. Campi (SIAM J. Optim., 2015)

Control of rivers with flood avoidance. - Hasan Arshad Nasir; Algo Carè; Erik Weyer (AuCC, 2016)

Sign-Perturbed Sums (SPS) with asymmetric noise: Robustness analysis and robustification techniques. - Algo Carè; Balázs Csanád Csáji; Marco C. Campi (CDC, 2016)

A randomised approach to Multiple Chance-Constrained Problems: An application to flood avoidance. - Hasan Arshad Nasir; Algo Carè; Erik Weyer (CDC, 2016)

Ventricular defibrillation: Classification with G.E.M. and a roadmap for future investigations. - Fabio Baronio; Manuela Baronio; Marco C. Campi; Algo Carè; Simone Garatti; Giovanna Perone (CDC, 2017)

Uncertainty Bounds for Kernel-based Regression: a Bayesian SPS Approach. - Algo Carè; Gianluigi Pillonetto; Marco C. Campi (MLSP, 2018)

Finite-Sample System Identification: An Overview and a New Correlation Method. - Algo Carè; Balázs Csanád Csáji; Marco C. Campi; Erik Weyer (IEEE Control. Syst. Lett., 2018)

A New Classification Algorithm With Guaranteed Sensitivity and Specificity for Medical Applications. - Algo Carè; Federico A. Ramponi; Marco C. Campi (IEEE Control. Syst. Lett., 2018)

Parameter-Dependent Poisson Equations: Tools for Stochastic Approximation in a Markovian Framework. - Algo Carè; Balázs Csanád Csáji; Balázs Gerencsér; László Gerencsér; Miklós Rásonyi (CDC, 2019)

A Toolbox for Virtual Reference Feedback Tuning (VRFT). - Algo Carè; Fabrizio Torricelli; Marco C. Campi; Sergio M. Savaresi (ECC, 2019)

On a class of interval predictor models with universal reliability. - Simone Garatti; Marco C. Campi; Algo Carè (Autom., 2019)

The wait-and-judge scenario approach applied to antenna array design. - Algo Carè; Simone Garatti; Marco C. Campi (Comput. Manag. Sci., 2019)

On the Poisson Equation of Parameter-Dependent Markov Chains. - Algo Carè; Balázs Csanád Csáji; Balázs Gerencsér; László Gerencsér; Miklós Rásonyi (CoRR, 2019)

Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design. - Simone Formentin; Marco C. Campi; Algo Carè; Sergio M. Savaresi (Syst. Control. Lett., 2019)

A Scenario-Based Stochastic MPC Approach for Problems With Normal and Rare Operations With an Application to Rivers. - Hasan Arshad Nasir; Algo Carè; Erik Weyer (IEEE Trans. Control. Syst. Technol., 2019)

Estimation of Accurate and Calibrated Uncertainties in Deterministic models. - Enrico Camporeale; Algo Carè (CoRR, 2020)

The scenario approach: A tool at the service of data-driven decision making. - Marco C. Campi; Algo Carè; Simone Garatti (Annu. Rev. Control., 2021)

Novel Bounds on the Probability of Misclassification in Majority Voting: Leveraging the Majority Size. - A. T. J. R. Cobbenhagen; Algo Carè; Marco C. Campi; Federico A. Ramponi; Duarte J. Antunes; W. P. M. H. Heemels (IEEE Control. Syst. Lett., 2021)

A Theory of the Risk for Empirical CVaR with Application to Portfolio Selection. - Giorgio Arici; Marco C. Campi; Algo Carè; Marco Dalai; Federico A. Ramponi (J. Syst. Sci. Complex., 2021)

Facing undermodelling in Sign-Perturbed-Sums system identification. - Algo Carè; Marco Claudio Campi; Balázs Csanád Csáji; Erik Weyer (Syst. Control. Lett., 2021)

Finite-Sample Guarantees for State-Space System Identification Under Full State Measurements. - Giacomo Baggio; Algo Carè; Gianluigi Pillonetto (CDC, 2022)

Bayesian frequentist bounds for machine learning and system identification. - Giacomo Baggio; Algo Carè; Anna Scampicchio; Gianluigi Pillonetto (Autom., 2022)

A simple condition for the boundedness of Sign-Perturbed-Sums (SPS) confidence regions. - Algo Carè (Autom., 2022)

State Conditional Filtering. - Algo Carè; Marco Claudio Campi; Erik Weyer (IEEE Trans. Autom. Control., 2022)

Complexity Is an Effective Observable to Tune Early Stopping in Scenario Optimization. - Simone Garatti; Algo Carè; Marco Claudio Campi (IEEE Trans. Autom. Control., 2023)

Average number of mistakes in sequential risk-averse scenario decision-making. - Simone Garatti; Algo Carè; Marco C. Campi (CDC, 2024)

Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version). - Algo Carè; Erik Weyer; Balázs Csanád Csáji; Marco C. Campi (CoRR, 2024)

Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency. - Algo Carè; Erik Weyer; Balázs Csanád Csáji; Marco C. Campi (SIAM J. Control. Optim., 2025)

Risk Analysis and Design Against Adversarial Actions. - Marco C. Campi; Algo Carè; Luis G. Crespo; Simone Garatti; Federico A. Ramponi (CoRR, 2025)