Algo Carè

发表

Parameter-Dependent Poisson Equations: Tools for Stochastic Approximation in a Markovian Framework*

Balázs Csanád Csáji, László Gerencsér, Miklós Rásonyi, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

A randomised approach to Multiple Chance-Constrained Problems: An application to flood avoidance

Hasan Arshad Nasir, Erik Weyer, Algo Carè, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Sign-Perturbed Sums (SPS) with instrumental variables for the identification of ARX systems

Balázs Csanád Csáji, Erik Weyer, Marco C. Campi, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Sign-Perturbed Sums (SPS) with asymmetric noise: Robustness analysis and robustification techniques

Balázs Csanád Csáji, Marco C. Campi, Algo Carè, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Empirical cost distribution: A scenario approach to the construction of probability boxes with application to channel equalization

Marco C. Campi, Simone Garatti, Algo Carè, 2014, 2014 European Control Conference (ECC).

On a class of interval predictor models with universal reliability

Marco C. Campi, Simone Garatti, Algo Carè, 2019, Autom..

On the Poisson Equation of Parameter-Dependent Markov Chains pdf

Balázs Csanád Csáji, László Gerencsér, Balázs Gerencsér, 2019, ArXiv.

Ventricular defibrillation: Classification with G.E.M. and a roadmap for future investigations

Fabio Baronio, Marco C. Campi, Simone Garatti, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Kernel-based SPS

Gianluigi Pillonetto, Marco C. Campi, Algo Carè, 2018 .

UNCERTAINTY BOUNDS FOR KERNEL-BASED REGRESSION: A BAYESIAN SPS APPROACH

Gianluigi Pillonetto, Marco C. Campi, Algo Carè, 2018, 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP).

Randomized min-max optimization: The exact risk of multiple cost levels

Marco C. Campi, Simone Garatti, Algo Carè, 2011, IEEE Conference on Decision and Control and European Control Conference.

Scenario Min-Max Optimization and the Risk of Empirical Costs

Marco C. Campi, Simone Garatti, Algo Carè, 2015, SIAM J. Optim..

Control of rivers with flood avoidance

Hasan Arshad Nasir, Erik Weyer, Algo Carè, 2016, 2016 Australian Control Conference (AuCC).

The wait-and-judge scenario approach applied to antenna array design

Marco C. Campi, Simone Garatti, Algo Carè, 2019, Comput. Manag. Sci..

Least squares estimates and the coverage of least squares costs

Marco C. Campi, Simone Garatti, Algo Carè, 2013, 52nd IEEE Conference on Decision and Control.

FAST - Fast Algorithm for the Scenario Technique

Marco C. Campi, Simone Garatti, Algo Carè, 2014, Oper. Res..

Old and New Challenges in Finite-Sample System Identification

Balázs Csanád Csáji, Erik Weyer, Marco C. Campi, 2018 .

A Scenario-Based Stochastic MPC Approach for Problems With Normal and Rare Operations With an Application to Rivers

Hasan Arshad Nasir, Erik Weyer, Algo Carè, 2019, IEEE Transactions on Control Systems Technology.

A randomised approach to flood control using Value-at-Risk

Hasan Arshad Nasir, Erik Weyer, Algo Carè, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Facing undermodelling in Sign-Perturbed-Sums system identification

Balázs Csanád Csáji, Erik Weyer, Marco C. Campi, 2021, Syst. Control. Lett..

A Theory of the Risk for Empirical CVaR with Application to Portfolio Selection

Marco Dalai, Marco C. Campi, Algo Carè, 2021, J. Syst. Sci. Complex..

ACCRUE: ACCURATE AND RELIABLE UNCERTAINTY ESTIMATE IN DETERMINISTIC MODELS

Enrico Camporeale, Algo Carè, E. Camporeale, 2021 .

FAST: an algorithm for the scenario approach with reduced sample complexity

Marco C. Campi, Simone Garatti, Algo Carè, 2011 .

Efficient River Management using Stochastic MPC and Ensemble Forecast of Uncertain In-flows

Hasan Arshad Nasir, Erik Weyer, Quan J. Wang, 2018 .