New results on the asymptotic theory of system identification for the assessment of the quality of estimated models. - S. Bittani; Marco C. Campi; Simone Garatti (CDC, 2002)

Model quality assessment for instrumental variable methods: use of the asymptotic theory in practice. - Simone Garatti; Marco C. Campi; Sergio Bittanti (CDC, 2003)

Data-Mining of a Large Virtual Community: Relationship between Users DB and the Web-Log File. - Sergio M. Savaresi; Simone Garatti; Sergio Bittanti; Luca La Brocca (SDM, 2003)

Assessing the quality of identified models through the asymptotic theory - when is the result reliable? - Simone Garatti; Marco C. Campi; Sergio Bittanti (Autom., 2004)

On the relationships between user profiles and navigation sessions in virtual communities: A data-mining approach. - Simone Garatti; Sergio M. Savaresi; Sergio Bittanti; Luca La Brocca (Intell. Data Anal., 2004)

Assesing the model quality in system identification. - Simone Garatti (2004)

Introducing robustness in iterative control. - Sergio Bittanti; Marco C. Campi; Simone Garatti (CDC/ECC, 2005)

The asymptotic model quality assessment for instrumental variable identification revisited. - Simone Garatti; Marco C. Campi; Sergio Bittanti (Syst. Control. Lett., 2006)

Modulating robustness in robust control: Making it easy through randomization. - Marco C. Campi; Simone Garatti (CDC, 2007)

An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data. - Simone Garatti; Sergio Bittanti; Diego Liberati; Andrea Maffezzoli (Intell. Data Anal., 2007)

Revisiting the basic issue of parameter estimation in system identification - a new approach for multi-value estimation. - Sergio Bittanti; Simone Garatti (CDC, 2008)

The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs. - Marco C. Campi; Simone Garatti (SIAM J. Optim., 2008)

The scenario approach for systems and control design. - Marco C. Campi; Simone Garatti; Maria Prandini (Annu. Rev. Control., 2009)

Interval predictor models: Identification and reliability. - Marco C. Campi; Giuseppe Carlo Calafiore; Simone Garatti (Autom., 2009)

On resampling and uncertainty estimation in Linear System Identification. - Simone Garatti; Robert R. Bitmead (Autom., 2010)

Iterative robust control: Speeding up improvement through iterations. - Simone Garatti; Marco C. Campi; Sergio Bittanti (Syst. Control. Lett., 2010)

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

A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality. - Marco C. Campi; Simone Garatti (J. Optim. Theory Appl., 2011)

A simulation-based approach to the approximation of stochastic hybrid systems. - Simone Garatti; Maria Prandini (ADHS, 2012)

A randomized approach to Stochastic Model Predictive Control. - Maria Prandini; Simone Garatti; John Lygeros (CDC, 2012)

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

Stochastic constrained control: Trading performance for state constraint feasibility. - Luca Deori; Simone Garatti; Maria Prandini (ECC, 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)

Advanced optimization methods for power systems. - Patrick Panciatici; Marco C. Campi; Simone Garatti; Steven H. Low; Daniel K. Molzahn; Andy X. Sun; Louis Wehenkel (PSCC, 2014)

Performance assessment and design of abstracted models for stochastic hybrid systems through a randomized approach. - Maria Prandini; Simone Garatti; Riccardo Vignali (Autom., 2014)

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

A counterexample to the uniqueness of the asymptotic estimate in ARMAX model identification via the correlation approach. - Simone Garatti (Syst. Control. Lett., 2014)

A model predictive control approach to aircraft motion control. - Luca Deori; Simone Garatti; Maria Prandini (ACC, 2015)

Non-convex scenario optimization with application to system identification. - Marco C. Campi; Simone Garatti; Federico A. Ramponi (CDC, 2015)

Stochastic control with input and state constraints: A relaxation technique to ensure feasibility. - Luca Deori; Simone Garatti; Maria Prandini (CDC, 2015)

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

Proximal minimization based distributed convex optimization. - Kostas Margellos; Alessandro Falsone; Simone Garatti; Maria Prandini (ACC, 2016)

A stochastic strategy integrating wind compensation for trajectory tracking in aircraft motion control. - Luca Deori; Simone Garatti; Maria Prandini (CDC, 2016)

Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization. - Alessandro Falsone; Kostas Margellos; Simone Garatti; Maria Prandini (CDC, 2016)

Vehicle stability control via VRFT with probabilistic robustness guarantees. - Gianmarco Rallo; Simone Formentin; Simone Garatti; Sergio M. Savaresi (CDC, 2016)

Constrained optimal control of stochastic switched affine systems using randomization. - Kostas Margellos; Alessandro Falsone; Simone Garatti; Maria Prandini (ECC, 2016)

Scenario based stochastic MPC schemes for rivers with feasibility ssurance. - Hasan Arshad Nasir; Simone Garatti; Erik Weyer (ECC, 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)

Optimally shaping the stationary distribution of a constrained discrete time stochastic linear system via disturbance compensation. - Alessandro Falsone; Luca Deori; Daniele Ioli; Simone Garatti; Maria Prandini (CDC, 2017)

Linear programs for resource sharing among heterogeneous agents: The effect of random agent arrivals. - Alessandro Falsone; Kostas Margellos; Simone Garatti; Maria Prandini (CDC, 2017)

Tuning regularization via scenario optimization. - Simone Formentin; Simone Garatti; Marco C. Campi; Sergio M. Savaresi (CDC, 2017)

Dual decomposition for multi-agent distributed optimization with coupling constraints. - Alessandro Falsone; Kostas Margellos; Simone Garatti; Maria Prandini (Autom., 2017)

Trading performance for state constraint feasibility in stochastic constrained control: A randomized approach. - Luca Deori; Simone Garatti; Maria Prandini (J. Frankl. Inst., 2017)

Wait-and-judge scenario optimization. - Marco C. Campi; Simone Garatti (Math. Program., 2018)

A General Scenario Theory for Nonconvex Optimization and Decision Making. - Marco Claudio Campi; Simone Garatti; Federico Alessandro Ramponi (IEEE Trans. Autom. Control., 2018)

Distributed Constrained Optimization and Consensus in Uncertain Networks via Proximal Minimization. - Kostas Margellos; Alessandro Falsone; Simone Garatti; Maria Prandini (IEEE Trans. Autom. Control., 2018)

Finite-Time Distributed Averaging Over Gossip-Constrained Ring Networks. - Alessandro Falsone; Kostas Margellos; Simone Garatti; Maria Prandini (IEEE Trans. Control. Netw. Syst., 2018)

Learning for Control: a Bayesian Scenario Approach. - Simone Garatti; Marco C. Campi (CDC, 2019)

Complexity-based modulation of the data-set in scenario optimization. - Simone Garatti; Marco C. Campi (ECC, 2019)

Optimal disturbance compensation for constrained linear systems operating in stationary conditions: A scenario-based approach. - Alessandro Falsone; Luca Deori; Daniele Ioli; Simone Garatti; Maria Prandini (Autom., 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)

An incremental scenario approach for building energy management with uncertain occupancy. - Arman Karshenas; Kostas Margellos; Simone Garatti (CoRR, 2019)

4-D Flight Trajectory Tracking: A Receding Horizon Approach Integrating Feedback Linearization and Scenario Optimization. - Luca Deori; Simone Garatti; Maria Prandini (IEEE Trans. Control. Syst. Technol., 2019)

Scenario-Based Economic Dispatch With Uncertain Demand Response. - Hao Ming; Le Xie 001; Marco Claudio Campi; Simone Garatti; P. R. Kumar 001 (IEEE Trans. Smart Grid, 2019)

Scenario optimization with relaxation: a new tool for design and application to machine learning problems. - Marco C. Campi; Simone Garatti (CDC, 2020)

A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints. - Luca Deori; Simone Garatti; Maria Prandini (Autom., 2020)

No-Load Transformers: Vibration Spectra Analysis by Deep Learning Methods for Loose Windings Detection. - Valerio Rucconi; Letizia De Maria; Daniele Bartalesi; Bau Valecillos; Simone Garatti; Sergio Bittanti (AISEM, 2021)

New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems. - Alessandro Falsone; Kostas Margellos; Jacopo Zizzo; Maria Prandini; Simone Garatti (CDC, 2021)

On the consistency of the risk evaluation in the scenario approach. - Simone Garatti; Marco C. Campi (CDC, 2021)

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

A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines. - Marco C. Campi; Simone Garatti (J. Mach. Learn. Res., 2021)

Deep Learning for a Comprehensive Transformer Fault Detection Through Vibrational Data. - Valerio Rucconi; Letizia De Maria; Daniele Bartalesi; Bau Valecillos; Simone Garatti; Sergio Bittanti (AISEM, 2022)

Compression at the service of learning: a case study for the Guaranteed Error Machine. - Simone Garatti; Marco C. Campi (CDC, 2022)

A scenario solution to state-feedback controller design for discrete-time linear systems subject to probabilistic constraints. - Giulio Salizzoni; Alessandro Falsone; Maria Prandini; Simone Garatti (CDC, 2022)

Risk and complexity in scenario optimization. - Simone Garatti; Marco C. Campi (Math. Program., 2022)

Optimal Steady-State Disturbance Compensation for Constrained Linear Systems: The Gaussian Noise Case. - Alessandro Falsone; Luca Deori; Daniele Ioli; Simone Garatti; Maria Prandini (IEEE Trans. Autom. Control., 2022)

Scenario Optimization with Constraint Relaxation in a Non-Convex Setup: A Flexible and General Framework for Data-Driven Design. - Simone Garatti; Marco C. Campi (CDC, 2023)

The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance. - Dario Paccagnan; Marco C. Campi; Simone Garatti (NeurIPS, 2023)

Compression, Generalization and Learning. - Marco C. Campi; Simone Garatti (J. Mach. Learn. Res., 2023)

On Conditional Risk Assessments in Scenario Optimization. - Simone Garatti; Marco C. Campi (SIAM J. Optim., 2023)

On the Sensitivity of Linear Resource Sharing Problems to the Arrival of New Agents. - Alessandro Falsone; Kostas Margellos; Jacopo Zizzo; Maria Prandini; Simone Garatti (IEEE Trans. Autom. Control., 2023)

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)

Preferent compression for tight generalization bounds. - Marco C. Campi; Simone Garatti (COPA, 2024)

Non-convex scenario optimization. - Simone Garatti; Marco C. Campi (Math. Program., 2025)

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