Simone Garatti

87 papers A* 1A 1C 2Journal 44Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Robustness certificates in data-driven non-convex optimization with additively-uncertain constraints. CoRR Alexander J. Gallo, Massimiliano Zoggia, Alessandro Falsone, Maria Prandini, Simone Garatti
2026	J	`jnl`	Scenario Approach with Post-Design Certification of User-Specified Properties. CoRR Algo Carè, Marco C. Campi, Simone Garatti
2025	J	`jnl`	Non-convex scenario optimization. Math. Program. Simone Garatti, Marco C. Campi
2025	—	`conf`	Pick-To-Learn for Systems and Control: theoretical review with a showcase in reachability analysis. CDC Dario Paccagnan, Daniel Marks, Marco C. Campi, Simone Garatti
2025	J	`jnl`	Pick-to-Learn for Systems and Control: Data-driven Synthesis with State-of-the-art Safety Guarantees. CoRR Dario Paccagnan, Daniel Marks, Marco C. Campi, Simone Garatti
2025	—	`conf`	Post-Design Verification in the Scenario Approach. CDC Algo Carè, Marco C. Campi, Simone Garatti
2025	J	`jnl`	Risk Analysis and Design Against Adversarial Actions. CoRR Marco C. Campi, Algo Carè, Luis G. Crespo, Simone Garatti, Federico A. Ramponi
2025	—	`conf`	Robust non-convex optimization with structured constraints: complexity bounds and guaranteed reliability level of the scenario solution. CDC Alexander J. Gallo, Alessandro Falsone, Maria Prandini, Simone Garatti
2024	—	`conf`	Average number of mistakes in sequential risk-averse scenario decision-making. CDC Simone Garatti, Algo Carè, Marco C. Campi
2024	—	`conf`	Preferent compression for tight generalization bounds. COPA Marco C. Campi, Simone Garatti
2023	J	`jnl`	Complexity Is an Effective Observable to Tune Early Stopping in Scenario Optimization. IEEE Trans. Autom. Control. Simone Garatti, Algo Carè, Marco Claudio Campi
2023	J	`jnl`	Compression, Generalization and Learning. CoRR Marco C. Campi, Simone Garatti
2023	J	`jnl`	Compression, Generalization and Learning. J. Mach. Learn. Res. Marco C. Campi, Simone Garatti
2023	J	`jnl`	On Conditional Risk Assessments in Scenario Optimization. SIAM J. Optim. Simone Garatti, Marco C. Campi
2023	J	`jnl`	On the Sensitivity of Linear Resource Sharing Problems to the Arrival of New Agents. IEEE Trans. Autom. Control. Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti
2023	—	`conf`	Scenario Optimization with Constraint Relaxation in a Non-Convex Setup: A Flexible and General Framework for Data-Driven Design. CDC Simone Garatti, Marco C. Campi
2023	A*	`conf`	The Pick-to-Learn Algorithm: Empowering Compression for Tight Generalization Bounds and Improved Post-training Performance. NeurIPS Dario Paccagnan, Marco C. Campi, Simone Garatti
2022	—	`conf`	A scenario solution to state-feedback controller design for discrete-time linear systems subject to probabilistic constraints. CDC Giulio Salizzoni, Alessandro Falsone, Maria Prandini, Simone Garatti
2022	—	`conf`	Compression at the service of learning: a case study for the Guaranteed Error Machine. CDC Simone Garatti, Marco C. Campi
2022	—	`conf`	Deep Learning for a Comprehensive Transformer Fault Detection Through Vibrational Data. AISEM Valerio Rucconi, Letizia De Maria, Daniele Bartalesi, Bau Valecillos, Simone Garatti, Sergio Bittanti
2022	J	`jnl`	Optimal Steady-State Disturbance Compensation for Constrained Linear Systems: The Gaussian Noise Case. IEEE Trans. Autom. Control. Alessandro Falsone, Luca Deori, Daniele Ioli, Simone Garatti, Maria Prandini
2022	J	`jnl`	Risk and complexity in scenario optimization. Math. Program. Simone Garatti, Marco C. Campi
2021	J	`jnl`	A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines. J. Mach. Learn. Res. Marco C. Campi, Simone Garatti
2021	—	`conf`	New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems. CDC Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti
2021	—	`conf`	No-Load Transformers: Vibration Spectra Analysis by Deep Learning Methods for Loose Windings Detection. AISEM Valerio Rucconi, Letizia De Maria, Daniele Bartalesi, Bau Valecillos, Simone Garatti, Sergio Bittanti
2021	—	`conf`	On the consistency of the risk evaluation in the scenario approach. CDC Simone Garatti, Marco C. Campi
2021	J	`jnl`	On the sensitivity of linear resource sharing problems to the arrival of new agents. CoRR Alessandro Falsone, Kostas Margellos, Jacopo Zizzo, Maria Prandini, Simone Garatti
2021	J	`jnl`	The scenario approach: A tool at the service of data-driven decision making. Annu. Rev. Control. Marco C. Campi, Algo Carè, Simone Garatti
2020	J	`jnl`	A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints. Autom. Luca Deori, Simone Garatti, Maria Prandini
2020	—	`conf`	Scenario optimization with relaxation: a new tool for design and application to machine learning problems. CDC Marco C. Campi, Simone Garatti
2020	J	`jnl`	Scenario optimization with relaxation: a new tool for design and application to machine learning problems. CoRR Marco C. Campi, Simone Garatti
2019	J	`jnl`	4-D Flight Trajectory Tracking: A Receding Horizon Approach Integrating Feedback Linearization and Scenario Optimization. IEEE Trans. Control. Syst. Technol. Luca Deori, Simone Garatti, Maria Prandini
2019	J	`jnl`	An incremental scenario approach for building energy management with uncertain occupancy. CoRR Arman Karshenas, Kostas Margellos, Simone Garatti
2019	—	`conf`	Complexity-based modulation of the data-set in scenario optimization. ECC Simone Garatti, Marco C. Campi
2019	—	`conf`	Learning for Control: a Bayesian Scenario Approach. CDC Simone Garatti, Marco C. Campi
2019	J	`jnl`	On a class of interval predictor models with universal reliability. Autom. Simone Garatti, Marco C. Campi, Algo Carè
2019	J	`jnl`	Optimal disturbance compensation for constrained linear systems operating in stationary conditions: A scenario-based approach. Autom. Alessandro Falsone, Luca Deori, Daniele Ioli, Simone Garatti, Maria Prandini
2019	J	`jnl`	Scenario-Based Economic Dispatch With Uncertain Demand Response. IEEE Trans. Smart Grid Hao Ming, Le Xie, Marco Claudio Campi, Simone Garatti, P. R. Kumar
2019	J	`jnl`	The wait-and-judge scenario approach applied to antenna array design. Comput. Manag. Sci. Algo Carè, Simone Garatti, Marco C. Campi
2018	J	`jnl`	A General Scenario Theory for Nonconvex Optimization and Decision Making. IEEE Trans. Autom. Control. Marco Claudio Campi, Simone Garatti, Federico Alessandro Ramponi
2018	J	`jnl`	Distributed Constrained Optimization and Consensus in Uncertain Networks via Proximal Minimization. IEEE Trans. Autom. Control. Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini
2018	J	`jnl`	Finite-Time Distributed Averaging Over Gossip-Constrained Ring Networks. IEEE Trans. Control. Netw. Syst. Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
2018	J	`jnl`	Wait-and-judge scenario optimization. Math. Program. Marco C. Campi, Simone Garatti
2017	J	`jnl`	Dual decomposition for multi-agent distributed optimization with coupling constraints. Autom. Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
2017	—	`conf`	Linear programs for resource sharing among heterogeneous agents: The effect of random agent arrivals. CDC Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
2017	—	`conf`	Optimally shaping the stationary distribution of a constrained discrete time stochastic linear system via disturbance compensation. CDC Alessandro Falsone, Luca Deori, Daniele Ioli, Simone Garatti, Maria Prandini
2017	J	`jnl`	Trading performance for state constraint feasibility in stochastic constrained control: A randomized approach. J. Frankl. Inst. Luca Deori, Simone Garatti, Maria Prandini
2017	—	`conf`	Tuning regularization via scenario optimization. CDC Simone Formentin, Simone Garatti, Marco C. Campi, Sergio M. Savaresi
2017	—	`conf`	Ventricular defibrillation: Classification with G.E.M. and a roadmap for future investigations. CDC Fabio Baronio, Manuela Baronio, Marco C. Campi, Algo Carè, Simone Garatti, Giovanna Perone
2016	—	`conf`	A stochastic strategy integrating wind compensation for trajectory tracking in aircraft motion control. CDC Luca Deori, Simone Garatti, Maria Prandini
2016	—	`conf`	Constrained optimal control of stochastic switched affine systems using randomization. ECC Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini
2016	—	`conf`	Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization. CDC Alessandro Falsone, Kostas Margellos, Simone Garatti, Maria Prandini
2016	C	`conf`	Proximal minimization based distributed convex optimization. ACC Kostas Margellos, Alessandro Falsone, Simone Garatti, Maria Prandini
2016	—	`conf`	Scenario based stochastic MPC schemes for rivers with feasibility ssurance. ECC Hasan Arshad Nasir, Simone Garatti, Erik Weyer
2016	—	`conf`	Vehicle stability control via VRFT with probabilistic robustness guarantees. CDC Gianmarco Rallo, Simone Formentin, Simone Garatti, Sergio M. Savaresi
2015	C	`conf`	A model predictive control approach to aircraft motion control. ACC Luca Deori, Simone Garatti, Maria Prandini
2015	—	`conf`	Non-convex scenario optimization with application to system identification. CDC Marco C. Campi, Simone Garatti, Federico A. Ramponi
2015	J	`jnl`	Scenario Min-Max Optimization and the Risk of Empirical Costs. SIAM J. Optim. Algo Carè, Simone Garatti, Marco C. Campi
2015	—	`conf`	Stochastic control with input and state constraints: A relaxation technique to ensure feasibility. CDC Luca Deori, Simone Garatti, Maria Prandini
2014	J	`jnl`	A counterexample to the uniqueness of the asymptotic estimate in ARMAX model identification via the correlation approach. Syst. Control. Lett. Simone Garatti
2014	—	`conf`	Advanced optimization methods for power systems. PSCC Patrick Panciatici, Marco C. Campi, Simone Garatti, Steven H. Low, Daniel K. Molzahn, Andy X. Sun, Louis Wehenkel
2014	—	`conf`	Empirical cost distribution: A scenario approach to the construction of probability boxes with application to channel equalization. ECC Algo Carè, Simone Garatti, Marco C. Campi
2014	J	`jnl`	FAST - Fast Algorithm for the Scenario Technique. Oper. Res. Algo Carè, Simone Garatti, Marco C. Campi
2014	J	`jnl`	Performance assessment and design of abstracted models for stochastic hybrid systems through a randomized approach. Autom. Maria Prandini, Simone Garatti, Riccardo Vignali
2014	J	`jnl`	Performance assessment and design of abstracted models for stochastic hybrid systems through a randomized approach. CoRR Maria Prandini, Simone Garatti, Riccardo Vignali
2013	—	`conf`	Least squares estimates and the coverage of least squares costs. CDC Algo Carè, Simone Garatti, Marco C. Campi
2013	—	`conf`	Stochastic constrained control: Trading performance for state constraint feasibility. ECC Luca Deori, Simone Garatti, Maria Prandini
2012	—	`conf`	A randomized approach to Stochastic Model Predictive Control. CDC Maria Prandini, Simone Garatti, John Lygeros
2012	—	`conf`	A simulation-based approach to the approximation of stochastic hybrid systems. ADHS Simone Garatti, Maria Prandini
2011	J	`jnl`	A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality. J. Optim. Theory Appl. Marco C. Campi, Simone Garatti
2011	—	`conf`	Randomized min-max optimization: The exact risk of multiple cost levels. CDC/ECC Algo Carè, Simone Garatti, Marco C. Campi
2010	J	`jnl`	Iterative robust control: Speeding up improvement through iterations. Syst. Control. Lett. Simone Garatti, Marco C. Campi, Sergio Bittanti
2010	J	`jnl`	On resampling and uncertainty estimation in Linear System Identification. Autom. Simone Garatti, Robert R. Bitmead
2009	J	`jnl`	Interval predictor models: Identification and reliability. Autom. Marco C. Campi, Giuseppe Carlo Calafiore, Simone Garatti
2009	J	`jnl`	The scenario approach for systems and control design. Annu. Rev. Control. Marco C. Campi, Simone Garatti, Maria Prandini
2008	—	`conf`	Revisiting the basic issue of parameter estimation in system identification - a new approach for multi-value estimation. CDC Sergio Bittanti, Simone Garatti
2008	J	`jnl`	The Exact Feasibility of Randomized Solutions of Uncertain Convex Programs. SIAM J. Optim. Marco C. Campi, Simone Garatti
2007	J	`jnl`	An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data. Intell. Data Anal. Simone Garatti, Sergio Bittanti, Diego Liberati, Andrea Maffezzoli
2007	—	`conf`	Modulating robustness in robust control: Making it easy through randomization. CDC Marco C. Campi, Simone Garatti
2006	J	`jnl`	The asymptotic model quality assessment for instrumental variable identification revisited. Syst. Control. Lett. Simone Garatti, Marco C. Campi, Sergio Bittanti
2005	—	`conf`	Introducing robustness in iterative control. CDC/ECC Sergio Bittanti, Marco C. Campi, Simone Garatti
2004	—	`—`	Assesing the model quality in system identification. Simone Garatti
2004	J	`jnl`	Assessing the quality of identified models through the asymptotic theory - when is the result reliable? Autom. Simone Garatti, Marco C. Campi, Sergio Bittanti
2004	J	`jnl`	On the relationships between user profiles and navigation sessions in virtual communities: A data-mining approach. Intell. Data Anal. Simone Garatti, Sergio M. Savaresi, Sergio Bittanti, Luca La Brocca
2003	A	`conf`	Data-Mining of a Large Virtual Community: Relationship between Users DB and the Web-Log File. SDM Sergio M. Savaresi, Simone Garatti, Sergio Bittanti, Luca La Brocca
2003	—	`conf`	Model quality assessment for instrumental variable methods: use of the asymptotic theory in practice. CDC Simone Garatti, Marco C. Campi, Sergio Bittanti
2002	—	`conf`	New results on the asymptotic theory of system identification for the assessment of the quality of estimated models. CDC S. Bittani, Marco C. Campi, Simone Garatti