Simone Garatti

Publication Activity (10 Years)

Years Active: 2002-2023
Publications (10 Years): 44

Top Topics

Resource Sharing

Receding Horizon

Economic Dispatch

Top Venues

IEEE Trans. Autom. Control.

Publications

Simone Garatti, Algo Carè, Marco Claudio Campi
Complexity Is an Effective Observable to Tune Early Stopping in Scenario Optimization. IEEE Trans. Autom. Control. 68 (2) (2023)
Marco C. Campi, Simone Garatti
Compression, Generalization and Learning. CoRR (2023)
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)
Simone Garatti, Marco C. Campi
On Conditional Risk Assessments in Scenario Optimization. SIAM J. Optim. 33 (2) (2023)
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)
Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti
On the Sensitivity of Linear Resource Sharing Problems to the Arrival of New Agents. IEEE Trans. Autom. Control. 68 (1) (2023)
Simone Garatti, Marco C. Campi
Risk and complexity in scenario optimization. Math. Program. 191 (1) (2022)
Simone Garatti, Marco C. Campi
Compression at the service of learning: a case study for the Guaranteed Error Machine. CDC (2022)
Valerio Rucconi, Letizia De Maria, Daniele Bartalesi, Bau Valecillos, Simone Garatti, Sergio Bittanti
Deep Learning for a Comprehensive Transformer Fault Detection Through Vibrational Data. AISEM (2022)
Alessandro Falsone, Luca Deori, Daniele Ioli, Simone Garatti, Maria Prandini
Optimal Steady-State Disturbance Compensation for Constrained Linear Systems: The Gaussian Noise Case. IEEE Trans. Autom. Control. 67 (12) (2022)
Giulio Salizzoni, Alessandro Falsone, Maria Prandini, Simone Garatti
A scenario solution to state-feedback controller design for discrete-time linear systems subject to probabilistic constraints. CDC (2022)
Marco C. Campi, Algo Carè, Simone Garatti
The scenario approach: A tool at the service of data-driven decision making. Annu. Rev. Control. 52 (2021)
Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti
New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems. CDC (2021)
Valerio Rucconi, Letizia De Maria, Daniele Bartalesi, Bau Valecillos, Simone Garatti, Sergio Bittanti
No-Load Transformers: Vibration Spectra Analysis by Deep Learning Methods for Loose Windings Detection. AISEM (2021)
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 (2021)
Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti
On the sensitivity of linear resource sharing problems to the arrival of new agents. CoRR (2021)
Simone Garatti, Marco C. Campi
On the consistency of the risk evaluation in the scenario approach. CDC (2021)
Marco C. Campi, Simone Garatti
Scenario optimization with relaxation: a new tool for design and application to machine learning problems. CDC (2020)
Marco C. Campi, Simone Garatti
Scenario optimization with relaxation: a new tool for design and application to machine learning problems. CoRR (2020)
Luca Deori, Simone Garatti, Maria Prandini
A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints. Autom. 115 (2020)
Luca Deori, Simone Garatti, Maria Prandini
4-D Flight Trajectory Tracking: A Receding Horizon Approach Integrating Feedback Linearization and Scenario Optimization. IEEE Trans. Control. Syst. Technol. 27 (3) (2019)
Alessandro Falsone, Luca Deori, Daniele Ioli, Simone Garatti, Maria Prandini
Optimal disturbance compensation for constrained linear systems operating in stationary conditions: A scenario-based approach. Autom. 110 (2019)
Simone Garatti, Marco C. Campi
Complexity-based modulation of the data-set in scenario optimization. ECC (2019)
Simone Garatti, Marco C. Campi, Algo Carè
On a class of interval predictor models with universal reliability. Autom. 110 (2019)
Arman Karshenas, Kostas Margellos, Simone Garatti
An incremental scenario approach for building energy management with uncertain occupancy. CoRR (2019)
Algo Carè, Simone Garatti, Marco C. Campi
The wait-and-judge scenario approach applied to antenna array design. Comput. Manag. Sci. 16 (3) (2019)
Hao Ming, Le Xie, Marco Claudio Campi, Simone Garatti, P. R. Kumar
Scenario-Based Economic Dispatch With Uncertain Demand Response. IEEE Trans. Smart Grid 10 (2) (2019)
Simone Garatti, Marco C. Campi
Learning for Control: a Bayesian Scenario Approach. CDC (2019)
Marco C. Campi, Simone Garatti
Wait-and-judge scenario optimization. Math. Program. 167 (1) (2018)
Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
Finite-Time Distributed Averaging Over Gossip-Constrained Ring Networks. IEEE Trans. Control. Netw. Syst. 5 (3) (2018)
Marco Claudio Campi, Simone Garatti, Federico Alessandro Ramponi
A General Scenario Theory for Nonconvex Optimization and Decision Making. IEEE Trans. Autom. Control. 63 (12) (2018)
Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini
Distributed Constrained Optimization and Consensus in Uncertain Networks via Proximal Minimization. IEEE Trans. Autom. Control. 63 (5) (2018)
Simone Formentin, Simone Garatti, Marco C. Campi, Sergio M. Savaresi
Tuning regularization via scenario optimization. CDC (2017)
Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
Linear programs for resource sharing among heterogeneous agents: The effect of random agent arrivals. CDC (2017)
Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
Dual decomposition for multi-agent distributed optimization with coupling constraints. Autom. 84 (2017)
Fabio Baronio, Manuela Baronio, Marco C. Campi, Algo Carè, Simone Garatti, Giovanna Perone
Ventricular defibrillation: Classification with G.E.M. and a roadmap for future investigations. CDC (2017)
Luca Deori, Simone Garatti, Maria Prandini
Trading performance for state constraint feasibility in stochastic constrained control: A randomized approach. J. Frankl. Inst. 354 (1) (2017)
Alessandro Falsone, Luca Deori, Daniele Ioli, Simone Garatti, Maria Prandini
Optimally shaping the stationary distribution of a constrained discrete time stochastic linear system via disturbance compensation. CDC (2017)
Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini
Proximal minimization based distributed convex optimization. ACC (2016)
Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini
Constrained optimal control of stochastic switched affine systems using randomization. ECC (2016)
Luca Deori, Simone Garatti, Maria Prandini
A stochastic strategy integrating wind compensation for trajectory tracking in aircraft motion control. CDC (2016)
Hasan Arshad Nasir, Simone Garatti, Erik Weyer
Scenario based stochastic MPC schemes for rivers with feasibility ssurance. ECC (2016)
Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization. CDC (2016)
Gianmarco Rallo, Simone Formentin, Simone Garatti, Sergio M. Savaresi
Vehicle stability control via VRFT with probabilistic robustness guarantees. CDC (2016)
Luca Deori, Simone Garatti, Maria Prandini
A model predictive control approach to aircraft motion control. ACC (2015)
Marco C. Campi, Simone Garatti, Federico A. Ramponi
Non-convex scenario optimization with application to system identification. CDC (2015)
Luca Deori, Simone Garatti, Maria Prandini
Stochastic control with input and state constraints: A relaxation technique to ensure feasibility. CDC (2015)
Algo Carè, Simone Garatti, Marco C. Campi
Scenario Min-Max Optimization and the Risk of Empirical Costs. SIAM J. Optim. 25 (4) (2015)
Simone Garatti
A counterexample to the uniqueness of the asymptotic estimate in ARMAX model identification via the correlation approach. Syst. Control. Lett. 74 (2014)
Algo Carè, Simone Garatti, Marco C. Campi
FAST - Fast Algorithm for the Scenario Technique. Oper. Res. 62 (3) (2014)
Patrick Panciatici, Marco C. Campi, Simone Garatti, Steven H. Low, Daniel K. Molzahn, Andy X. Sun, Louis Wehenkel
Advanced optimization methods for power systems. PSCC (2014)
Maria Prandini, Simone Garatti, Riccardo Vignali
Performance assessment and design of abstracted models for stochastic hybrid systems through a randomized approach. CoRR (2014)
Algo Carè, Simone Garatti, Marco C. Campi
Empirical cost distribution: A scenario approach to the construction of probability boxes with application to channel equalization. ECC (2014)
Maria Prandini, Simone Garatti, Riccardo Vignali
Performance assessment and design of abstracted models for stochastic hybrid systems through a randomized approach. Autom. 50 (11) (2014)
Luca Deori, Simone Garatti, Maria Prandini
Stochastic constrained control: Trading performance for state constraint feasibility. ECC (2013)
Algo Carè, Simone Garatti, Marco C. Campi
Least squares estimates and the coverage of least squares costs. CDC (2013)
Simone Garatti, Maria Prandini
A simulation-based approach to the approximation of stochastic hybrid systems. ADHS (2012)
Maria Prandini, Simone Garatti, John Lygeros
A randomized approach to Stochastic Model Predictive Control. CDC (2012)
Algo Carè, Simone Garatti, Marco C. Campi
Randomized min-max optimization: The exact risk of multiple cost levels. CDC/ECC (2011)
Marco C. Campi, Simone Garatti
A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality. J. Optim. Theory Appl. 148 (2) (2011)
Simone Garatti, Marco C. Campi, Sergio Bittanti
Iterative robust control: Speeding up improvement through iterations. Syst. Control. Lett. 59 (2) (2010)
Simone Garatti, Robert R. Bitmead
On resampling and uncertainty estimation in Linear System Identification. Autom. 46 (5) (2010)
Marco C. Campi, Giuseppe Carlo Calafiore, Simone Garatti
Interval predictor models: Identification and reliability. Autom. 45 (2) (2009)
Marco C. Campi, Simone Garatti, Maria Prandini
The scenario approach for systems and control design. Annu. Rev. Control. 33 (2) (2009)
Marco C. Campi, Simone Garatti
The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs. SIAM J. Optim. 19 (3) (2008)
Sergio Bittanti, Simone Garatti
Revisiting the basic issue of parameter estimation in system identification - a new approach for multi-value estimation. CDC (2008)
Marco C. Campi, Simone Garatti
Modulating robustness in robust control: Making it easy through randomization. CDC (2007)
Simone Garatti, Sergio Bittanti, Diego Liberati, Andrea Maffezzoli
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data. Intell. Data Anal. 11 (2) (2007)
Simone Garatti, Marco C. Campi, Sergio Bittanti
The asymptotic model quality assessment for instrumental variable identification revisited. Syst. Control. Lett. 55 (6) (2006)
Sergio Bittanti, Marco C. Campi, Simone Garatti
Introducing robustness in iterative control. CDC/ECC (2005)
Simone Garatti, Sergio M. Savaresi, Sergio Bittanti, Luca La Brocca
On the relationships between user profiles and navigation sessions in virtual communities: A data-mining approach. Intell. Data Anal. 8 (6) (2004)
Simone Garatti, Marco C. Campi, Sergio Bittanti
Assessing the quality of identified models through the asymptotic theory - when is the result reliable? Autom. 40 (8) (2004)
Sergio M. Savaresi, Simone Garatti, Sergio Bittanti, Luca La Brocca
Data-Mining of a Large Virtual Community: Relationship between Users DB and the Web-Log File. SDM (2003)
Simone Garatti, Marco C. Campi, Sergio Bittanti
Model quality assessment for instrumental variable methods: use of the asymptotic theory in practice. CDC (2003)
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)