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Stable and robust LQR design via scenario approach., , and . Autom., (2021)An update-and-design scheme for scenario-based LQR synthesis., and . ACC, page 932-939. IEEE, (2022)Inverse Optimal Control as an Errors-in-Variables Problem., , and . CoRR, (2023)On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics., , , , , and . IJCNN, page 1-8. IEEE, (2023)Kernel-based learning of orthogonal functions., , and . Neurocomputing, (2023)Bayesian frequentist bounds for machine learning and system identification., , , and . Autom., (2022)Bayesian multi-task learning using finite-dimensional models: A comparative study., , , and . CDC, page 2218-2225. IEEE, (2021)Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation., , , , , , and . IEEE Robotics Autom. Lett., 8 (6): 3222-3229 (June 2023)Sample Complexity and Minimax Properties of Exponentially Stable Regularized Estimators., and . IEEE Trans. Autom. Control., 67 (5): 2330-2342 (2022)Active Learning-based Model Predictive Coverage Control., , , , and . CoRR, (2023)