Simone Garatti
Orcid: 0000-0002-5451-6892
According to our database1,
Simone Garatti
authored at least 73 papers
between 2002 and 2023.
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Bibliography
2023
Complexity Is an Effective Observable to Tune Early Stopping in Scenario Optimization.
IEEE Trans. Autom. Control., February, 2023
IEEE Trans. Autom. Control., 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
Optimal Steady-State Disturbance Compensation for Constrained Linear Systems: The Gaussian Noise Case.
IEEE Trans. Autom. Control., 2022
A scenario solution to state-feedback controller design for discrete-time linear systems subject to probabilistic constraints.
Proceedings of the 61st IEEE Conference on Decision and Control, 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
Deep Learning for a Comprehensive Transformer Fault Detection Through Vibrational Data.
Proceedings of the Sensors and Microsystems, 2022
2021
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines.
J. Mach. Learn. Res., 2021
Annu. Rev. Control., 2021
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
New results on resource sharing problems with random agent arrivals and an application to economic dispatch in power systems.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021
No-Load Transformers: Vibration Spectra Analysis by Deep Learning Methods for Loose Windings Detection.
Proceedings of the Sensors and Microsystems - Proceedings of AISEM 2021, 2021
2020
A randomized relaxation method to ensure feasibility in stochastic control of linear systems subject to state and input constraints.
Autom., 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
IEEE Trans. Smart Grid, 2019
4-D Flight Trajectory Tracking: A Receding Horizon Approach Integrating Feedback Linearization and Scenario Optimization.
IEEE Trans. Control. Syst. Technol., 2019
An incremental scenario approach for building energy management with uncertain occupancy.
CoRR, 2019
Comput. Manag. Sci., 2019
Optimal disturbance compensation for constrained linear systems operating in stationary conditions: A scenario-based approach.
Autom., 2019
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
IEEE Trans. Control. Netw. Syst., 2018
Distributed Constrained Optimization and Consensus in Uncertain Networks via Proximal Minimization.
IEEE Trans. Autom. Control., 2018
IEEE Trans. Autom. Control., 2018
2017
Trading performance for state constraint feasibility in stochastic constrained control: A randomized approach.
J. Frankl. Inst., 2017
Dual decomposition for multi-agent distributed optimization with coupling constraints.
Autom., 2017
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Linear programs for resource sharing among heterogeneous agents: The effect of random agent arrivals.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017
Optimally shaping the stationary distribution of a constrained discrete time stochastic linear system via disturbance compensation.
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
Proceedings of the 15th European Control Conference, 2016
Constrained optimal control of stochastic switched affine systems using randomization.
Proceedings of the 15th European Control Conference, 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Distributed constrained convex optimization and consensus via dual decomposition and proximal minimization.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
A stochastic strategy integrating wind compensation for trajectory tracking in aircraft motion control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
2015
Stochastic control with input and state constraints: A relaxation technique to ensure feasibility.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the American Control Conference, 2015
2014
A counterexample to the uniqueness of the asymptotic estimate in ARMAX model identification via the correlation approach.
Syst. Control. Lett., 2014
Performance assessment and design of abstracted models for stochastic hybrid systems through a randomized approach.
Autom., 2014
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
2013
Stochastic constrained control: Trading performance for state constraint feasibility.
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 4th IFAC Conference on Analysis and Design of Hybrid Systems, 2012
2011
A Sampling-and-Discarding Approach to Chance-Constrained Optimization: Feasibility and Optimality.
J. Optim. Theory Appl., 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
Syst. Control. Lett., 2010
Autom., 2010
2009
2008
SIAM J. Optim., 2008
Revisiting the basic issue of parameter estimation in system identification - a new approach for multi-value estimation.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
2007
An unsupervised clustering approach for leukaemia classification based on DNA micro-arrays data.
Intell. Data Anal., 2007
Proceedings of the 46th IEEE Conference on Decision and Control, 2007
2006
The asymptotic model quality assessment for instrumental variable identification revisited.
Syst. Control. Lett., 2006
2005
Proceedings of the 44th IEEE IEEE Conference on Decision and Control and 8th European Control Conference Control, 2005
2004
On the relationships between user profiles and navigation sessions in virtual communities: A data-mining approach.
Intell. Data Anal., 2004
Assessing the quality of identified models through the asymptotic theory - when is the result reliable?
Autom., 2004
2003
Data-Mining of a Large Virtual Community: Relationship between Users DB and the Web-Log File.
Proceedings of the Third SIAM International Conference on Data Mining, 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
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