Anna Scampicchio

23 papers B 1C 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimal uncertainty bounds for multivariate kernel regression under bounded noise: A Gaussian process-based dual function.
CoRR
Amon Lahr, Anna Scampicchio, Johannes Köhler, Melanie N. Zeilinger
2025 J jnl
Gaussian processes for dynamics learning in model predictive control.
Annu. Rev. Control.
Anna Scampicchio, Elena Arcari, Amon Lahr, Melanie N. Zeilinger
2025 J jnl
Gaussian processes for dynamics learning in model predictive control.
CoRR
Anna Scampicchio, Elena Arcari, Amon Lahr, Melanie N. Zeilinger
2025 J jnl
Optimal kernel regression bounds under energy-bounded noise.
CoRR
Amon Lahr, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger
2025 J jnl
Physics-informed learning under mixing: How physical knowledge speeds up learning.
CoRR
Anna Scampicchio, Leonardo F. Toso, Rahel Rickenbach, James Anderson, Melanie N. Zeilinger
2024 J jnl
Active Learning-Based Model Predictive Coverage Control.
IEEE Trans. Autom. Control.
Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron
2024 J jnl
Data-driven control of input-affine systems: the role of the signature transform.
CoRR
Anna Scampicchio, Melanie N. Zeilinger
2024 — conf
Inverse optimal control as an errors-in-variables problem.
L4DC
Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger
2023 J jnl
Active Learning-based Model Predictive Coverage Control.
CoRR
Rahel Rickenbach, Johannes Köhler, Anna Scampicchio, Melanie N. Zeilinger, Andrea Carron
2023 J jnl
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation.
IEEE Robotics Autom. Lett.
Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger
2023 J jnl
Error Analysis of Regularized Trigonometric Linear Regression With Unbounded Sampling: A Statistical Learning Viewpoint.
IEEE Control. Syst. Lett.
Anna Scampicchio, Elena Arcari, Melanie N. Zeilinger
2023 J jnl
Inverse Optimal Control as an Errors-in-Variables Problem.
CoRR
Rahel Rickenbach, Anna Scampicchio, Melanie N. Zeilinger
2023 J jnl
Kernel-based learning of orthogonal functions.
Neurocomputing
Anna Scampicchio, Mauro Bisiacco, Gianluigi Pillonetto
2023 B conf
On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics.
IJCNN
Enea Monzio Compagnoni, Anna Scampicchio, Luca Biggio, Antonio Orvieto, Thomas Hofmann, Josef Teichmann
2022 C conf
An update-and-design scheme for scenario-based LQR synthesis.
ACC
Anna Scampicchio, Andrea Iannelli
2022 J jnl
Bayesian Multi-Task Learning MPC for Robotic Mobile Manipulation.
CoRR
Elena Arcari, Maria Vittoria Minniti, Anna Scampicchio, Andrea Carron, Farbod Farshidian, Marco Hutter, Melanie N. Zeilinger
2022 J jnl
Bayesian frequentist bounds for machine learning and system identification.
Autom.
Giacomo Baggio, Algo Carè, Anna Scampicchio, Gianluigi Pillonetto
2022 J jnl
Sample Complexity and Minimax Properties of Exponentially Stable Regularized Estimators.
IEEE Trans. Autom. Control.
Gianluigi Pillonetto, Anna Scampicchio
2021 — conf
Bayesian multi-task learning using finite-dimensional models: A comparative study.
CDC
Elena Arcari, Anna Scampicchio, Andrea Carron, Melanie N. Zeilinger
2021 J jnl
Stable and robust LQR design via scenario approach.
Autom.
Anna Scampicchio, Aleksandr Y. Aravkin, Gianluigi Pillonetto
2020 — conf
A convex approach to robust LQR.
CDC
Anna Scampicchio, Gianluigi Pillonetto
2019 — conf
Bayesian Kernel-Based Linear Control Design.
CDC
Anna Scampicchio, Alessandro Chiuso, Simone Formentin, Gianluigi Pillonetto
2018 — conf
A New Model Selection Approach to Hybrid Kernel-Based Estimation.
CDC
Anna Scampicchio, Gianluigi Pillonetto