Convergence and exponential convergence of identification algorithms with directional forgetting factor. - Sergio Bittanti; Paolo Bolzern; Marco C. Campi (Autom., 1990)

On the convergence of minimum-variance directional-forgetting adaptive control scheme. - Marco C. Campi (Autom., 1992)

Bounded error identification of time-varying parameters by RLS techniques. - Sergio Bittanti; Marco C. Campi (IEEE Trans. Autom. Control., 1994)

Exponentially weighted least squares identification of time-varying systems with white disturbances. - Marco C. Campi (IEEE Trans. Signal Process., 1994)

The problem of pole-zero cancellation in transfer function identification and application to adaptive stabilization. - Marco C. Campi (Autom., 1996)

Unbiased estimation of a sinusoid in colored noise via adapted notch filters. - Sergio Bittanti; Marco C. Campi; Sergio M. Savaresi (Autom., 1997)

Persistence of excitation properties for the identification of time-varying systems. - Sergio Bittanti; Marco C. Campi; Lei Guo (CDC, 2000)

Virtual reference feedback tuning (VRFT): a new direct approach to the design of feedback controllers. - Marco C. Campi; Andrea Lecchini; Sergio M. Savaresi (CDC, 2000)

A self-optimizing adaptive LQG control scheme for input-output systems. - Maria Prandini; Marco C. Campi (CDC, 2000)

Pole placement techniques for a class of IIR blind equalizers. - Marco C. Campi; Riccardo Leonardi; Lorenzo A. Rossi (EUSIPCO, 2000)

Persistence of Excitation Properties for Time-Varying Autoregressive Systems. - Sergio Bittanti; Marco C. Campi (SIAM J. Control. Optim., 2000)

Adaptive LQG Control of Input-Output Systems—A Cost-biased Approach. - Maria Prandini; Marco C. Campi (SIAM J. Control. Optim., 2000)

A model of a bubbling fluidized bed combustor oriented to char mass estimation. - Sergio Bittanti; Paolo Bolzern; Marco C. Campi; Antonio De Marco; Guido Poncia; Walter Prandoni (IEEE Trans. Control. Syst. Technol., 2000)

Sensitivity shaping via virtual reference feedback tuning. - Andrea Lecchini; Marco C. Campi; Sergio Matteo Savaresi (CDC, 2001)

Logic-based switching for the stabilization of stochastic systems in presence of unmodeled dynamics. - Maria Prandini; Marco C. Campi (CDC, 2001)

Virtual reference feedback tuning for two degree of freedom controllers. - Andrea Lecchini; Marco C. Campi; Sergio M. Savaresi (ECC, 2001)

Learning with prior information. - Marco C. Campi; Mathukumalli Vidyasagar (IEEE Trans. Autom. Control., 2001)

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)

Interval predictors for unknown dynamical systems: an assessment of reliability. - Giuseppe Carlo Calafiore; Marco C. Campi (CDC, 2002)

Non-asymptotic quality assessment of generalised FIR models. - Marco C. Campi; Su Ki Ooi; Erik Weyer (CDC, 2002)

Virtual reference feedback tuning: a direct method for the design of feedback controllers. - Marco C. Campi; Andrea Lecchini; Sergio M. Savaresi (Autom., 2002)

Non-asymptotic confidence ellipsoids for the least-squares estimate. - Erik Weyer; Marco C. Campi (Autom., 2002)

Finite sample properties of system identification methods. - Marco C. Campi; Erik Weyer (IEEE Trans. Autom. Control., 2002)

Finite sample quality assessment of system identification models of irrigation channels. - Su Ki Ooi; Erik Weyer; Marco C. Campi (CCA, 2003)

Robust convex programs: randomized solutions and applications in control. - Giuseppe Carlo Calafiore; Marco C. Campi (CDC, 2003)

Estimation of confidence regions for the parameters of ARMA models guaranteed non-asymptotic results. - Marco C. Campi; Erik Weyer (CDC, 2003)

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

Hysteresis-based switching control of stochastic linear systems. - Maria Prandini; João P. Hespanha 001; Marco C. Campi (ECC, 2003)

An Application of the Virtual Reference Feedback Tuning Method to a Benchmark Problem. - Marco C. Campi; Andrea Lecchini; Sergio M. Savaresi (Eur. J. Control, 2003)

Randomized algorithms for the synthesis of cautious adaptive controllers. - Marco C. Campi; Maria Prandini (Syst. Control. Lett., 2003)

A new bound on the generalization rate of sampled convex programs. - Giuseppe Carlo Calafiore; Marco C. Campi (CDC, 2004)

Non-asymptotic quality assessment of generalised FIR models with periodic inputs. - Marco C. Campi; Su Ki Ooi; Erik Weyer (Autom., 2004)

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

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

On Two-Stage Portfolio Allocation Problems with Affine Recourse. - Giuseppe Carlo Calafiore; Marco C. Campi (CDC/ECC, 2005)

Virtual Reference Feedback Tuning for non-linear systems. - Marco C. Campi; Sergio M. Savaresi (CDC/ECC, 2005)

Parametric Identification of Nonlinear Systems: Guaranteed Confidence Regions. - Marco Dalai; Erik Weyer; Marco C. Campi (CDC/ECC, 2005)

Guaranteed non-asymptotic confidence regions in system identification. - Marco C. Campi; Erik Weyer (Autom., 2005)

Uncertain convex programs: randomized solutions and confidence levels. - Giuseppe Carlo Calafiore; Marco C. Campi (Math. Program., 2005)

Iterative identification method for linear continuous-time systems. - Marco C. Campi; Toshiharu Sugie; Fumitoshi Sakai (CDC, 2006)

Non-asymptotic confidence sets for input-output transfer functions. - Marco C. Campi; Erik Weyer (CDC, 2006)

Trends in systems and signals: Status report prepared by the IFAC Coordinating Committee on Systems and Signals. - Tohru Katayama; Tomas McKelvey; Akira Sano; Christos G. Cassandras; Marco C. Campi (Annu. Rev. Control., 2006)

[untitled]. - Sergio Bittanti; Marco C. Campi (Commun. Inf. Syst., 2006)

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

The scenario approach to robust control design. - Giuseppe Carlo Calafiore; Marco C. Campi (IEEE Trans. Autom. Control., 2006)

Direct nonlinear control design: the virtual reference feedback tuning (VRFT) approach. - Marco C. Campi; Sergio M. Savaresi (IEEE Trans. Autom. Control., 2006)

New results on the scenario design approach. - Marco C. Campi; Giuseppe Carlo Calafiore (CDC, 2007)

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

A new approach to controller design in presence of constraints. - Maria Prandini; Marco C. Campi (CDC, 2007)

Parameter identification for nonlinear systems: Guaranteed confidence regions through LSCR. - Marco Dalai; Erik Weyer; Marco C. Campi (Autom., 2007)

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

An Iterative Identification Method for Linear Continuous-Time Systems. - Marco C. Campi; Toshiharu Sugie; Fumitoshi Sakai (IEEE Trans. Autom. Control., 2008)

Adaptation and the effort needed to adapt. - Sergio Bittanti; Marco C. Campi; Maria Prandini (CDC, 2009)

Finite sample properties of system identification with quantized output data. - Erik Weyer; Sangho Ko; Marco C. Campi (CDC, 2009)

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)

Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics. - Marco C. Campi; Sangho Ko; Erik Weyer (Autom., 2009)

Notes on the Scenario Design Approach. - Marco C. Campi; Giuseppe Carlo Calafiore (IEEE Trans. Autom. Control., 2009)

Why Is Resorting to Fate Wise? A Critical Look at Randomized Algorithms in Systems and Control. - Marco C. Campi (Eur. J. Control, 2010)

Classification with guaranteed probability of error. - Marco C. Campi (Mach. Learn., 2010)

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

Non-Asymptotic Confidence Sets for the Parameters of Linear Transfer Functions. - Marco C. Campi; Erik Weyer (IEEE Trans. Autom. Control., 2010)

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

Prediction, filtering and smoothing using LSCR: State estimation algorithms with guaranteed confidence sets. - Erik Weyer; Marco C. Campi (CDC/ECC, 2011)

State estimation algorithms with guaranteed confidence intervals for first order systems. - Erik Weyer; Marco C. Campi (ICCA, 2011)

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

Sign-perturbed sums (SPS): A method for constructing exact finite-sample confidence regions for general linear systems. - Balázs Csanád Csáji; Marco C. Campi; Erik Weyer (CDC, 2012)

Risk-Return Trade-off with the Scenario Approach in Practice: A Case Study in Portfolio Selection. - Bernardo K. Pagnoncelli; Daniel Reich; Marco C. Campi (J. Optim. Theory Appl., 2012)

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

Guaranteed non-asymptotic confidence ellipsoids for FIR systems. - Erik Weyer; Balázs Csanád Csáji; Marco C. Campi (CDC, 2013)

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

Strong consistency of the Sign-Perturbed Sums method. - Balázs Csanád Csáji; Marco C. Campi; Erik Weyer (CDC, 2014)

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)

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

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

On the choice of the event trigger in event-based estimation. - Sebastian Trimpe; Marco C. Campi (EBCCSP, 2015)

Non-asymptotic model quality assessment of transfer functions at multiple frequency points. - Sangho Ko; Erik Weyer; Marco Claudio Campi (Autom., 2015)

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

Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models. - Balázs Csanád Csáji; Marco C. Campi; Erik Weyer (IEEE Trans. Signal Process., 2015)

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

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

Keynote 1: "Wait-and-judge ín scenario optimization". - Marco C. Campi (CoDIT, 2017)

Asymptotic properties of SPS confidence regions. - Erik Weyer; Marco Claudio Campi; Balázs Csanád Csáji (Autom., 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)

Expected shortfall: Heuristics and certificates. - Federico A. Ramponi; Marco C. Campi (Eur. J. Oper. Res., 2018)

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)

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

The Scenario Approach Meets Uncertain Game Theory and Variational Inequalities. - Dario Paccagnan; Marco C. Campi (CDC, 2019)

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

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

The scenario approach meets uncertain variational inequalities and game theory. - Dario Paccagnan; Marco C. Campi (CoRR, 2019)

Opinion formation in voting processes under bounded confidence. - Sergei Yu. Pilyugin; Marco C. Campi (Networks Heterog. Media, 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)

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)

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)

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 Optimization with Relaxation and its Application to Support Vector Machines. - Marco C. Campi; Simone Garatti (J. Mach. Learn. Res., 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)

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

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

State Conditional Filtering. - Algo Carè; Marco Claudio Campi; Erik Weyer (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)

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)

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)

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)