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Marco C. Campi
Marco Claudio Campi
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2020 – today
- 2024
- [i5]Algo Carè, Erik Weyer, Balázs Csanád Csáji, Marco C. Campi:
Signed-Perturbed Sums Estimation of ARX Systems: Exact Coverage and Strong Consistency (Extended Version). CoRR abs/2402.11528 (2024) - 2023
- [j63]Marco C. Campi, Simone Garatti:
Compression, Generalization and Learning. J. Mach. Learn. Res. 24: 339:1-339:74 (2023) - [j62]Simone Garatti, Marco C. Campi:
On Conditional Risk Assessments in Scenario Optimization. SIAM J. Optim. 33(2): 455-480 (2023) - [j61]Simone Garatti
, Algo Carè
Complexity Is an Effective Observable to Tune Early Stopping in Scenario Optimization. IEEE Trans. Autom. Control. 68(2): 928-942 (2023) - [c56]Simone Garatti, Marco C. Campi:
Scenario Optimization with Constraint Relaxation in a Non-Convex Setup: A Flexible and General Framework for Data-Driven Design. CDC 2023: 26-31 - [c55]Dario Paccagnan, Marco C. Campi, Simone Garatti:
The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance. NeurIPS 2023 - [i4]Marco C. Campi, Simone Garatti:
Compression, Generalization and Learning. CoRR abs/2301.12767 (2023) - 2022
- [j60]Simone Garatti
Risk and complexity in scenario optimization. Math. Program. 191(1): 243-279 (2022) - [j59]Algo Carè
State Conditional Filtering. IEEE Trans. Autom. Control. 67(7): 3381-3395 (2022) - [c54]Simone Garatti, Marco C. Campi:
Compression at the service of learning: a case study for the Guaranteed Error Machine. CDC 2022: 2135-2140 - 2021
- [j58]Marco C. Campi
The scenario approach: A tool at the service of data-driven decision making. Annu. Rev. Control. 52: 1-17 (2021) - [j57]A. T. J. R. Cobbenhagen
Novel Bounds on the Probability of Misclassification in Majority Voting: Leveraging the Majority Size. IEEE Control. Syst. Lett. 5(5): 1513-1518 (2021) - [j56]Marco C. Campi, Simone Garatti:
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines. J. Mach. Learn. Res. 22: 288:1-288:38 (2021) - [j55]Giorgio Arici, Marco C. Campi, Algo Carè
A Theory of the Risk for Empirical CVaR with Application to Portfolio Selection. J. Syst. Sci. Complex. 34(5): 1879-1894 (2021) - [j54]Algo Carè
Facing undermodelling in Sign-Perturbed-Sums system identification. Syst. Control. Lett. 153: 104936 (2021) - [c53]Simone Garatti, Marco C. Campi:
On the consistency of the risk evaluation in the scenario approach. CDC 2021: 1468-1473 - 2020
- [c52]Marco C. Campi, Simone Garatti:
Scenario optimization with relaxation: a new tool for design and application to machine learning problems. CDC 2020: 2463-2468 - [i3]Marco C. Campi, Simone Garatti:
Scenario optimization with relaxation: a new tool for design and application to machine learning problems. CoRR abs/2004.05839 (2020)
2010 – 2019
- 2019
- [j53]Simone Garatti, Marco C. Campi, Algo Carè
On a class of interval predictor models with universal reliability. Autom. 110 (2019) - [j52]Algo Carè
The wait-and-judge scenario approach applied to antenna array design. Comput. Manag. Sci. 16(3): 481-499 (2019) - [j51]Sergei Yu. Pilyugin, Marco C. Campi:
Opinion formation in voting processes under bounded confidence. Networks Heterog. Media 14(3): 617-632 (2019) - [j50]Simone Formentin, Marco C. Campi, Algo Carè
Deterministic continuous-time Virtual Reference Feedback Tuning (VRFT) with application to PID design. Syst. Control. Lett. 127: 25-34 (2019) - [j49]Hao Ming
Scenario-Based Economic Dispatch With Uncertain Demand Response. IEEE Trans. Smart Grid 10(2): 1858-1868 (2019) - [c51]Simone Garatti, Marco C. Campi:
Learning for Control: a Bayesian Scenario Approach. CDC 2019: 1772-1777 - [c50]Dario Paccagnan, Marco C. Campi:
The Scenario Approach Meets Uncertain Game Theory and Variational Inequalities. CDC 2019: 6124-6129 - [c49]Simone Garatti, Marco C. Campi:
Complexity-based modulation of the data-set in scenario optimization. ECC 2019: 1386-1391 - [c48]Algo Carè
A Toolbox for Virtual Reference Feedback Tuning (VRFT). ECC 2019: 4252-4257 - [i2]Dario Paccagnan, Marco C. Campi:
The scenario approach meets uncertain variational inequalities and game theory. CoRR abs/1903.06762 (2019) - 2018
- [j48]Algo Carè
Finite-Sample System Identification: An Overview and a New Correlation Method. IEEE Control. Syst. Lett. 2(1): 61-66 (2018) - [j47]Algo Carè
A New Classification Algorithm With Guaranteed Sensitivity and Specificity for Medical Applications. IEEE Control. Syst. Lett. 2(3): 393-398 (2018) - [j46]Federico A. Ramponi
Expected shortfall: Heuristics and certificates. Eur. J. Oper. Res. 267(3): 1003-1013 (2018) - [j45]Marco C. Campi, Simone Garatti
Wait-and-judge scenario optimization. Math. Program. 167(1): 155-189 (2018) - [j44]Marco Claudio Campi
A General Scenario Theory for Nonconvex Optimization and Decision Making. IEEE Trans. Autom. Control. 63(12): 4067-4078 (2018) - [c47]Algo Carè
Uncertainty Bounds for Kernel-based Regression: a Bayesian SPS Approach. MLSP 2018: 1-6 - [i1]Balázs Csanád Csáji, Marco C. Campi, Erik Weyer:
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models. CoRR abs/1807.08216 (2018) - 2017
- [j43]Erik Weyer, Marco Claudio Campi, Balázs Csanád Csáji:
Asymptotic properties of SPS confidence regions. Autom. 82: 287-294 (2017) - [c46]Simone Formentin, Simone Garatti, Marco C. Campi, Sergio M. Savaresi:
Tuning regularization via scenario optimization. CDC 2017: 635-640 - [c45]Fabio Baronio, Manuela Baronio, Marco C. Campi, Algo Carè
Ventricular defibrillation: Classification with G.E.M. and a roadmap for future investigations. CDC 2017: 2718-2723 - [c44]Marco C. Campi:
Keynote 1: "Wait-and-judge ín scenario optimization". CoDIT 2017: 13 - 2016
- [c43]Algo Carè
Sign-Perturbed Sums (SPS) with asymmetric noise: Robustness analysis and robustification techniques. CDC 2016: 262-267 - 2015
- [j42]Sangho Ko, Erik Weyer
Non-asymptotic model quality assessment of transfer functions at multiple frequency points. Autom. 60: 65-78 (2015) - [j41]Algo Carè
Scenario Min-Max Optimization and the Risk of Empirical Costs. SIAM J. Optim. 25(4): 2061-2080 (2015) - [j40]Balázs Csanád Csáji, Marco C. Campi, Erik Weyer
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models. IEEE Trans. Signal Process. 63(1): 169-181 (2015) - [c42]Valerio Volpe, Balázs Csanád Csáji, Algo Carè
Sign-Perturbed Sums (SPS) with instrumental variables for the identification of ARX systems. CDC 2015: 2115-2120 - [c41]Marco C. Campi, Simone Garatti
Non-convex scenario optimization with application to system identification. CDC 2015: 4023-4028 - [c40]Sebastian Trimpe
On the choice of the event trigger in event-based estimation. EBCCSP 2015: 1-8 - 2014
- [j39]Algo Carè
FAST - Fast Algorithm for the Scenario Technique. Oper. Res. 62(3): 662-671 (2014) - [c39]Balázs Csanád Csáji, Marco C. Campi, Erik Weyer
Strong consistency of the Sign-Perturbed Sums method. CDC 2014: 3352-3357 - [c38]Algo Carè
Empirical cost distribution: A scenario approach to the construction of probability boxes with application to channel equalization. ECC 2014: 2204-2209 - [c37]Patrick Panciatici, Marco C. Campi, Simone Garatti
Advanced optimization methods for power systems. PSCC 2014: 1-18 - 2013
- [j38]Marco C. Campi, Algo Carè
Random Convex Programs with L1-Regularization: Sparsity and Generalization. SIAM J. Control. Optim. 51(5): 3532-3557 (2013) - [c36]Algo Carè
Least squares estimates and the coverage of least squares costs. CDC 2013: 6025-6030 - [c35]Erik Weyer, Balázs Csanád Csáji, Marco C. Campi:
Guaranteed non-asymptotic confidence ellipsoids for FIR systems. CDC 2013: 7162-7167 - 2012
- [j37]Bernardo K. Pagnoncelli, Daniel Reich
Risk-Return Trade-off with the Scenario Approach in Practice: A Case Study in Portfolio Selection. J. Optim. Theory Appl. 155(2): 707-722 (2012) - [c34]Balázs Csanád Csáji, Marco C. Campi, Erik Weyer
Sign-perturbed sums (SPS): A method for constructing exact finite-sample confidence regions for general linear systems. CDC 2012: 7321-7326 - 2011
- [j36]Marco C. Campi, Simone Garatti
A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality. J. Optim. Theory Appl. 148(2): 257-280 (2011) - [c33]Erik Weyer
Prediction, filtering and smoothing using LSCR: State estimation algorithms with guaranteed confidence sets. CDC/ECC 2011: 2589-2594 - [c32]Algo Carè
Randomized min-max optimization: The exact risk of multiple cost levels. CDC/ECC 2011: 7794-7799 - [c31]Erik Weyer
State estimation algorithms with guaranteed confidence intervals for first order systems. ICCA 2011: 913-918 - 2010
- [j35]Marco C. Campi:
Why Is Resorting to Fate Wise? A Critical Look at Randomized Algorithms in Systems and Control. Eur. J. Control 16(5): 419-430 (2010) - [j34]Marco C. Campi:
Classification with guaranteed probability of error. Mach. Learn. 80(1): 63-84 (2010) - [j33]Simone Garatti
Iterative robust control: Speeding up improvement through iterations. Syst. Control. Lett. 59(2): 139-146 (2010) - [j32]Marco C. Campi, Erik Weyer
Non-Asymptotic Confidence Sets for the Parameters of Linear Transfer Functions. IEEE Trans. Autom. Control. 55(12): 2708-2720 (2010)
2000 – 2009
- 2009
- [j31]Marco C. Campi, Simone Garatti
The scenario approach for systems and control design. Annu. Rev. Control. 33(2): 149-157 (2009) - [j30]Marco C. Campi, Giuseppe Carlo Calafiore
Interval predictor models: Identification and reliability. Autom. 45(2): 382-392 (2009) - [j29]Marco C. Campi, Sangho Ko, Erik Weyer
Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics. Autom. 45(10): 2175-2186 (2009) - [j28]Marco C. Campi, Giuseppe Carlo Calafiore
Notes on the Scenario Design Approach. IEEE Trans. Autom. Control. 54(2): 382-385 (2009) - [c30]Erik Weyer
Finite sample properties of system identification with quantized output data. CDC 2009: 1532-1537 - [c29]Sergio Bittanti, Marco C. Campi, Maria Prandini
Adaptation and the effort needed to adapt. CDC 2009: 5733-5737 - 2008
- [j27]Marco C. Campi, Simone Garatti
The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs. SIAM J. Optim. 19(3): 1211-1230 (2008) - [j26]Marco C. Campi, Toshiharu Sugie, Fumitoshi Sakai:
An Iterative Identification Method for Linear Continuous-Time Systems. IEEE Trans. Autom. Control. 53(7): 1661-1669 (2008) - 2007
- [j25]Marco Dalai
Parameter identification for nonlinear systems: Guaranteed confidence regions through LSCR. Autom. 43(8): 1418-1425 (2007) - [c28]Maria Prandini
A new approach to controller design in presence of constraints. CDC 2007: 530-535 - [c27]Marco C. Campi, Simone Garatti
Modulating robustness in robust control: Making it easy through randomization. CDC 2007: 2164-2168 - [c26]Marco C. Campi, Sangho Ko, Erik Weyer
Non-asymptotic confidence regions for model parameters in the presence of unmodelled dynamics. CDC 2007: 4251-4256 - [c25]Marco C. Campi, Giuseppe Carlo Calafiore
New results on the scenario design approach. CDC 2007: 6184-6189 - 2006
- [j24]Tohru Katayama, Tomas McKelvey
Trends in systems and signals: Status report prepared by the IFAC Coordinating Committee on Systems and Signals. Annu. Rev. Control. 30(1): 5-17 (2006) - [j23]Sergio Bittanti, Marco C. Campi:
[untitled]. Commun. Inf. Syst. 6(4): 299-320 (2006) - [j22]Simone Garatti
The asymptotic model quality assessment for instrumental variable identification revisited. Syst. Control. Lett. 55(6): 494-500 (2006) - [j21]Marco C. Campi, Sergio M. Savaresi:
Direct nonlinear control design: the virtual reference feedback tuning (VRFT) approach. IEEE Trans. Autom. Control. 51(1): 14-27 (2006) - [j20]Giuseppe Carlo Calafiore
The scenario approach to robust control design. IEEE Trans. Autom. Control. 51(5): 742-753 (2006) - [c24]Marco C. Campi, Erik Weyer:
Non-asymptotic confidence sets for input-output transfer functions. CDC 2006: 157-162 - [c23]Marco C. Campi, Toshiharu Sugie, Fumitoshi Sakai:
Iterative identification method for linear continuous-time systems. CDC 2006: 817-822 - 2005
- [j19]Marco C. Campi, Erik Weyer
Guaranteed non-asymptotic confidence regions in system identification. Autom. 41(10): 1751-1764 (2005) - [j18]Giuseppe Carlo Calafiore
Uncertain convex programs: randomized solutions and confidence levels. Math. Program. 102(1): 25-46 (2005) - [c22]Sergio Bittanti, Marco C. Campi, Simone Garatti
Introducing robustness in iterative control. CDC/ECC 2005: 3111-3116 - [c21]Marco Dalai
Parametric Identification of Nonlinear Systems: Guaranteed Confidence Regions. CDC/ECC 2005: 6418-6423 - [c20]Marco C. Campi, Sergio M. Savaresi:
Virtual Reference Feedback Tuning for non-linear systems. CDC/ECC 2005: 6608-6613 - [c19]Giuseppe Carlo Calafiore
On Two-Stage Portfolio Allocation Problems with Affine Recourse. CDC/ECC 2005: 8042-8047 - 2004
- [j17]Simone Garatti
Assessing the quality of identified models through the asymptotic theory - when is the result reliable? Autom. 40(8): 1319-1332 (2004) - [j16]Marco C. Campi, Su Ki Ooi, Erik Weyer
Non-asymptotic quality assessment of generalised FIR models with periodic inputs. Autom. 40(12): 2029-2041 (2004) - [c18]Giuseppe Carlo Calafiore, Marco C. Campi:
A new bound on the generalization rate of sampled convex programs. CDC 2004: 5328-5333 - 2003
- [j15]Marco C. Campi, Andrea Lecchini, Sergio M. Savaresi:
An Application of the Virtual Reference Feedback Tuning Method to a Benchmark Problem. Eur. J. Control 9(1): 66-76 (2003) - [j14]Marco C. Campi, Maria Prandini
Randomized algorithms for the synthesis of cautious adaptive controllers. Syst. Control. Lett. 49(1): 21-36 (2003) - [c17]Su Ki Ooi, Erik Weyer, Marco C. Campi:
Finite sample quality assessment of system identification models of irrigation channels. CCA 2003: 1239-1244 - [c16]Giuseppe Carlo Calafiore, Marco C. Campi:
Robust convex programs: randomized solutions and applications in control. CDC 2003: 2423-2428 - [c15]Marco C. Campi, Erik Weyer
Estimation of confidence regions for the parameters of ARMA models guaranteed non-asymptotic results. CDC 2003: 6009-6014 - [c14]Simone Garatti
Model quality assessment for instrumental variable methods: use of the asymptotic theory in practice. CDC 2003: 6015-6020 - [c13]Maria Prandini
Hysteresis-based switching control of stochastic linear systems. ECC 2003: 2956-2961 - 2002
- [j13]Marco C. Campi, Andrea Lecchini, Sergio M. Savaresi:
Virtual reference feedback tuning: a direct method for the design of feedback controllers. Autom. 38(8): 1337-1346 (2002) - [j12]Erik Weyer
Non-asymptotic confidence ellipsoids for the least-squares estimate. Autom. 38(9): 1539-1547 (2002) - [j11]Marco C. Campi, Erik Weyer
Finite sample properties of system identification methods. IEEE Trans. Autom. Control. 47(8): 1329-1334 (2002) - [c12]S. Bittani, Marco C. Campi, Simone Garatti:
New results on the asymptotic theory of system identification for the assessment of the quality of estimated models. CDC 2002: 1814-1819 - [c11]Marco C. Campi, Su Ki Ooi, Erik Weyer:
Non-asymptotic quality assessment of generalised FIR models. CDC 2002: 3416-3421 - [c10]Giuseppe Carlo Calafiore, Marco C. Campi:
Interval predictors for unknown dynamical systems: an assessment of reliability. CDC 2002: 4766-4771 - 2001
- [j10]Marco C. Campi, Mathukumalli Vidyasagar:
Learning with prior information. IEEE Trans. Autom. Control. 46(11): 1682-1695 (2001) - [c9]Maria Prandini, Marco C. Campi:
Logic-based switching for the stabilization of stochastic systems in presence of unmodeled dynamics. CDC 2001: 393-398 - [c8]Andrea Lecchini, Marco C. Campi, Sergio Matteo Savaresi:
Sensitivity shaping via virtual reference feedback tuning. CDC 2001: 750-755 - [c7]Andrea Lecchini, Marco C. Campi, Sergio M. Savaresi:
Virtual reference feedback tuning for two degree of freedom controllers. ECC 2001: 2416-2421 - 2000
- [j9]Sergio Bittanti, Marco C. Campi:
Persistence of Excitation Properties for Time-Varying Autoregressive Systems. SIAM J. Control. Optim. 39(1): 133-140 (2000) - [j8]Maria Prandini
Adaptive LQG Control of Input-Output Systems---A Cost-biased Approach. SIAM J. Control. Optim. 39(5): 1499-1519 (2000) - [j7]Sergio Bittanti, Paolo Bolzern, Marco C. Campi, Antonio De Marco, Guido Poncia, Walter Prandoni:
A model of a bubbling fluidized bed combustor oriented to char mass estimation. IEEE Trans. Control. Syst. Technol. 8(2): 247-256 (2000) - [c6]Marco C. Campi, Andrea Lecchini, Sergio M. Savaresi:
Virtual reference feedback tuning (VRFT): a new direct approach to the design of feedback controllers. CDC 2000: 623-629 - [c5]Sergio Bittanti, Marco C. Campi, Lei Guo:
Persistence of excitation properties for the identification of time-varying systems. CDC 2000: 680-684 - [c4]Maria Prandini, Marco C. Campi:
A self-optimizing adaptive LQG control scheme for input-output systems. CDC 2000: 1110-1115 - [c3]Erik Weyer, Marco C. Campi:
Non-asymptotic confidence ellipsoids for the least squares estimate. CDC 2000: 2688-2693 - [c2]Marco C. Campi, Riccardo Leonardi, Lorenzo A. Rossi:
Pole placement techniques for a class of IIR blind equalizers. EUSIPCO 2000: 1-4 - [c1]Marco C. Campi, M. Vidyasagar:
Learning with prior information. ISCAS 2000: 255-258
1990 – 1999
- 1997
- [j6]Sergio Bittanti, Marco C. Campi, Sergio M. Savaresi:
Unbiased estimation of a sinusoid in colored noise via adapted notch filters. Autom. 33(2): 209-215 (1997) - 1996
- [j5]Marco C. Campi:
The problem of pole-zero cancellation in transfer function identification and application to adaptive stabilization. Autom. 32(6): 849-857 (1996) - 1994
- [j4]Sergio Bittanti, Marco C. Campi:
Bounded error identification of time-varying parameters by RLS techniques. IEEE Trans. Autom. Control. 39(5): 1106-1110 (1994) - [j3]Marco C. Campi:
Exponentially weighted least squares identification of time-varying systems with white disturbances. IEEE Trans. Signal Process. 42(11): 2906-2914 (1994) - 1992
- [j2]Marco C. Campi:
On the convergence of minimum-variance directional-forgetting adaptive control scheme. Autom. 28(1): 221-225 (1992) - 1990
- [j1]Sergio Bittanti, Paolo Bolzern, Marco C. Campi:
Convergence and exponential convergence of identification algorithms with directional forgetting factor. Autom. 26(5): 929-932 (1990)
Coauthor Index
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