Marco C. Campi

Orcid: 0000-0002-5209-3312

According to our database1, Marco C. Campi authored at least 118 papers between 1990 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2012, "For contributions to stochastic and randomized methods in systems and control".

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version).
CoRR, 2024

2023
Complexity Is an Effective Observable to Tune Early Stopping in Scenario Optimization.
IEEE Trans. Autom. Control., February, 2023

On Conditional Risk Assessments in Scenario Optimization.
SIAM J. Optim., 2023

Compression, Generalization and Learning.
J. Mach. Learn. Res., 2023

The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Scenario Optimization with Constraint Relaxation in a Non-Convex Setup: A Flexible and General Framework for Data-Driven Design.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
State Conditional Filtering.
IEEE Trans. Autom. Control., 2022

Risk and complexity in scenario optimization.
Math. Program., 2022

Compression at the service of learning: a case study for the Guaranteed Error Machine.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Facing undermodelling in Sign-Perturbed-Sums system identification.
Syst. Control. Lett., 2021

A Theory of the Risk for Empirical CVaR with Application to Portfolio Selection.
J. Syst. Sci. Complex., 2021

A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines.
J. Mach. Learn. Res., 2021

Novel Bounds on the Probability of Misclassification in Majority Voting: Leveraging the Majority Size.
IEEE Control. Syst. Lett., 2021

The scenario approach: A tool at the service of data-driven decision making.
Annu. Rev. Control., 2021

On the consistency of the risk evaluation in the scenario approach.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Scenario optimization with relaxation: a new tool for design and application to machine learning problems.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Scenario-Based Economic Dispatch With Uncertain Demand Response.
IEEE Trans. Smart Grid, 2019

Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design.
Syst. Control. Lett., 2019

Opinion formation in voting processes under bounded confidence.
Networks Heterog. Media, 2019

The scenario approach meets uncertain variational inequalities and game theory.
CoRR, 2019

The wait-and-judge scenario approach applied to antenna array design.
Comput. Manag. Sci., 2019

On a class of interval predictor models with universal reliability.
Autom., 2019

Complexity-based modulation of the data-set in scenario optimization.
Proceedings of the 17th European Control Conference, 2019

A Toolbox for Virtual Reference Feedback Tuning (VRFT).
Proceedings of the 17th European Control Conference, 2019

The Scenario Approach Meets Uncertain Game Theory and Variational Inequalities.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Learning for Control: a Bayesian Scenario Approach.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
A General Scenario Theory for Nonconvex Optimization and Decision Making.
IEEE Trans. Autom. Control., 2018

Wait-and-judge scenario optimization.
Math. Program., 2018

Expected shortfall: Heuristics and certificates.
Eur. J. Oper. Res., 2018

A New Classification Algorithm With Guaranteed Sensitivity and Specificity for Medical Applications.
IEEE Control. Syst. Lett., 2018

Finite-Sample System Identification: An Overview and a New Correlation Method.
IEEE Control. Syst. Lett., 2018

Uncertainty Bounds for Kernel-based Regression: a Bayesian SPS Approach.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

2017
Asymptotic properties of SPS confidence regions.
Autom., 2017

Keynote 1: "Wait-and-judge ín scenario optimization".
Proceedings of the 4th International Conference on Control, 2017

Tuning regularization via scenario optimization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Ventricular defibrillation: Classification with G.E.M. and a roadmap for future investigations.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Sign-Perturbed Sums (SPS) with asymmetric noise: Robustness analysis and robustification techniques.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models.
IEEE Trans. Signal Process., 2015

Scenario Min-Max Optimization and the Risk of Empirical Costs.
SIAM J. Optim., 2015

Non-asymptotic model quality assessment of transfer functions at multiple frequency points.
Autom., 2015

On the choice of the event trigger in event-based estimation.
Proceedings of the International Conference on Event-based Control, 2015

Sign-Perturbed Sums (SPS) with instrumental variables for the identification of ARX systems.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Non-convex scenario optimization with application to system identification.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
FAST - Fast Algorithm for the Scenario Technique.
Oper. Res., 2014

Advanced optimization methods for power systems.
Proceedings of the 2014 Power Systems Computation Conference, 2014

Empirical cost distribution: A scenario approach to the construction of probability boxes with application to channel equalization.
Proceedings of the 13th European Control Conference, 2014

Strong consistency of the Sign-Perturbed Sums method.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Random Convex Programs with L<sub>1</sub>-Regularization: Sparsity and Generalization.
SIAM J. Control. Optim., 2013

Guaranteed non-asymptotic confidence ellipsoids for FIR systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Least squares estimates and the coverage of least squares costs.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Risk-Return Trade-off with the Scenario Approach in Practice: A Case Study in Portfolio Selection.
J. Optim. Theory Appl., 2012

Sign-perturbed sums (SPS): A method for constructing exact finite-sample confidence regions for general linear systems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

2011
A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality.
J. Optim. Theory Appl., 2011

State estimation algorithms with guaranteed confidence intervals for first order systems.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011

Prediction, filtering and smoothing using LSCR: State estimation algorithms with guaranteed confidence sets.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Randomized min-max optimization: The exact risk of multiple cost levels.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Non-Asymptotic Confidence Sets for the Parameters of Linear Transfer Functions.
IEEE Trans. Autom. Control., 2010

Iterative robust control: Speeding up improvement through iterations.
Syst. Control. Lett., 2010

Classification with guaranteed probability of error.
Mach. Learn., 2010

Why Is Resorting to Fate Wise? A Critical Look at Randomized Algorithms in Systems and Control.
Eur. J. Control, 2010

2009
Notes on the Scenario Design Approach.
IEEE Trans. Autom. Control., 2009

Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics.
Autom., 2009

Interval predictor models: Identification and reliability.
Autom., 2009

The scenario approach for systems and control design.
Annu. Rev. Control., 2009

Finite sample properties of system identification with quantized output data.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

Adaptation and the effort needed to adapt.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
An Iterative Identification Method for Linear Continuous-Time Systems.
IEEE Trans. Autom. Control., 2008

The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs.
SIAM J. Optim., 2008

2007
Parameter identification for nonlinear systems: Guaranteed confidence regions through LSCR.
Autom., 2007

A new approach to controller design in presence of constraints.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

Modulating robustness in robust control: Making it easy through randomization.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

New results on the scenario design approach.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2006
Direct nonlinear control design: the virtual reference feedback tuning (VRFT) approach.
IEEE Trans. Autom. Control., 2006

The scenario approach to robust control design.
IEEE Trans. Autom. Control., 2006

The asymptotic model quality assessment for instrumental variable identification revisited.
Syst. Control. Lett., 2006

[untitled].
Commun. Inf. Syst., 2006

Trends in systems and signals: Status report prepared by the IFAC Coordinating Committee on Systems and Signals.
Annu. Rev. Control., 2006

Non-asymptotic confidence sets for input-output transfer functions.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

Iterative identification method for linear continuous-time systems.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005
Uncertain convex programs: randomized solutions and confidence levels.
Math. Program., 2005

Guaranteed non-asymptotic confidence regions in system identification.
Autom., 2005

Parametric Identification of Nonlinear Systems: Guaranteed Confidence Regions.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Virtual Reference Feedback Tuning for non-linear systems.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

On Two-Stage Portfolio Allocation Problems with Affine Recourse.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

Introducing robustness in iterative control.
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005

2004
Assessing the quality of identified models through the asymptotic theory - when is the result reliable?
Autom., 2004

Non-asymptotic quality assessment of generalised FIR models with periodic inputs.
Autom., 2004

A new bound on the generalization rate of sampled convex programs.
Proceedings of the 43rd IEEE Conference on Decision and Control, 2004

2003
Randomized algorithms for the synthesis of cautious adaptive controllers.
Syst. Control. Lett., 2003

An Application of the Virtual Reference Feedback Tuning Method to a Benchmark Problem.
Eur. J. Control, 2003

Hysteresis-based switching control of stochastic linear systems.
Proceedings of the 7th European Control Conference, 2003

Model quality assessment for instrumental variable methods: use of the asymptotic theory in practice.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Estimation of confidence regions for the parameters of ARMA models guaranteed non-asymptotic results.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Robust convex programs: randomized solutions and applications in control.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Finite sample quality assessment of system identification models of irrigation channels.
Proceedings of 2003 IEEE Conference on Control Applications, 2003

2002
Finite sample properties of system identification methods.
IEEE Trans. Autom. Control., 2002

Non-asymptotic confidence ellipsoids for the least-squares estimate.
Autom., 2002

Virtual reference feedback tuning: a direct method for the design of feedback controllers.
Autom., 2002

Non-asymptotic quality assessment of generalised FIR models.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

Interval predictors for unknown dynamical systems: an assessment of reliability.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

New results on the asymptotic theory of system identification for the assessment of the quality of estimated models.
Proceedings of the 41st IEEE Conference on Decision and Control, 2002

2001
Learning with prior information.
IEEE Trans. Autom. Control., 2001

Virtual reference feedback tuning for two degree of freedom controllers.
Proceedings of the 6th European Control Conference, 2001

Logic-based switching for the stabilization of stochastic systems in presence of unmodeled dynamics.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

Sensitivity shaping via virtual reference feedback tuning.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
A model of a bubbling fluidized bed combustor oriented to char mass estimation.
IEEE Trans. Control. Syst. Technol., 2000

Adaptive LQG Control of Input-Output Systems---A Cost-biased Approach.
SIAM J. Control. Optim., 2000

Persistence of Excitation Properties for Time-Varying Autoregressive Systems.
SIAM J. Control. Optim., 2000

Pole placement techniques for a class of IIR blind equalizers.
Proceedings of the 10th European Signal Processing Conference, 2000

A self-optimizing adaptive LQG control scheme for input-output systems.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Virtual reference feedback tuning (VRFT): a new direct approach to the design of feedback controllers.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

Persistence of excitation properties for the identification of time-varying systems.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1997
Unbiased estimation of a sinusoid in colored noise via adapted notch filters.
Autom., 1997

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

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

Bounded error identification of time-varying parameters by RLS techniques.
IEEE Trans. Autom. Control., 1994

1992
On the convergence of minimum-variance directional-forgetting adaptive control scheme.
Autom., 1992

1990
Convergence and exponential convergence of identification algorithms with directional forgetting factor.
Autom., 1990


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