Gianluigi Pillonetto

185 papers A* 2A 3C 10Journal 116Unranked 54

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep networks for system identification: A survey. Autom. Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
2025	J	`jnl`	Learning stochasticity: a nonparametric framework for intrinsic noise estimation. CoRR Gianluigi Pillonetto, Alberto Giaretta, Mauro Bisiacco
2025	J	`jnl`	On-line learning of dynamic systems: sparse regression meets Kalman filtering. CoRR Gianluigi Pillonetto, Akram Yazdani, Aleksandr Y. Aravkin
2025	J	`jnl`	Sparse and nonparametric estimation of equations governing dynamical systems with applications to biology. CoRR Gianluigi Pillonetto, Alberto Giaretta, Aleksandr Y. Aravkin, Mauro Bisiacco, Timothy C. Elston
2025	J	`jnl`	Supervised Learning in Dynamic and Non Stationary Environments. IEEE Trans. Pattern Anal. Mach. Intell. Alberto Giaretta, Mauro Bisiacco, Gianluigi Pillonetto
2024	J	`jnl`	A refinement of the stability test for reproducing kernel Hilbert spaces. Autom. Mauro Bisiacco, Gianluigi Pillonetto
2024	J	`jnl`	Dealing with collinearity in large-scale linear system identification using Gaussian regression. Autom. Wenqi Cao, Gianluigi Pillonetto
2024	J	`jnl`	Gaussian kernel expansion with basis functions uniformly bounded in ℒ CoRR Mauro Bisiacco, Gianluigi Pillonetto
2024	J	`jnl`	Kernel-based linear system identification: When does the representer theorem hold? Autom. Gianluigi Pillonetto, Mauro Bisiacco
2024	J	`jnl`	Learning for Control: $\mathcal {L}_{1}$-Error Bounds for Kernel-Based Regression. IEEE Trans. Autom. Control. Mauro Bisiacco, Gianluigi Pillonetto
2024	J	`jnl`	Mercer kernel absolute integrability is only sufficient for RKHS stability. Syst. Control. Lett. Mauro Bisiacco, Gianluigi Pillonetto
2024	J	`jnl`	The Bayesian Separation Principle for Data-driven Control. CoRR Riccardo Alessandro Grimaldi, Giacomo Baggio, Ruggero Carli, Gianluigi Pillonetto
2023	J	`jnl`	Absolute integrability of Mercer kernels is only sufficient for RKHS stability. CoRR Mauro Bisiacco, Gianluigi Pillonetto
2023	J	`jnl`	Dealing with Collinearity in Large-Scale Linear System Identification Using Gaussian Regression. CoRR Wenqi Cao, Gianluigi Pillonetto
2023	J	`jnl`	Deep networks for system identification: a Survey. CoRR Gianluigi Pillonetto, Aleksandr Y. Aravkin, Daniel Gedon, Lennart Ljung, Antônio H. Ribeiro, Thomas B. Schön
2023	J	`jnl`	Kernel-based function learning in dynamic and non stationary environments. CoRR Alberto Giaretta, Mauro Bisiacco, Gianluigi Pillonetto
2023	J	`jnl`	Kernel-based learning of orthogonal functions. Neurocomputing Anna Scampicchio, Mauro Bisiacco, Gianluigi Pillonetto
2023	J	`jnl`	On the stability test for reproducing kernel Hilbert spaces. CoRR Mauro Bisiacco, Gianluigi Pillonetto
2023	J	`jnl`	Sliding-Mode Theory Under Feedback Constraints and the Problem of Epidemic Control. SIAM J. Appl. Math. Mauro Bisiacco, Gianluigi Pillonetto
2022	J	`jnl`	Bayesian frequentist bounds for machine learning and system identification. Autom. Giacomo Baggio, Algo Carè, Anna Scampicchio, Gianluigi Pillonetto
2022	J	`jnl`	Closed-form expressions and nonparametric estimation of COVID-19 infection rate. Autom. Mauro Bisiacco, Gianluigi Pillonetto, Claudio Cobelli
2022	—	`conf`	Dealing with collinearity in large-scale linear system identification using Bayesian regularization. CDC Wenqi Cao, Gianluigi Pillonetto
2022	J	`jnl`	Dealing with collinearity in large-scale linear system identification using Bayesian regularization. CoRR Wenqi Cao, Gianluigi Pillonetto
2022	J	`jnl`	Deep prediction networks. Neurocomputing Alberto Dalla Libera, Gianluigi Pillonetto
2022	—	`conf`	Finite-Sample Guarantees for State-Space System Identification Under Full State Measurements. CDC Giacomo Baggio, Algo Carè, Gianluigi Pillonetto
2022	J	`jnl`	Linear Model Identification for Personalized Prediction and Control in Diabetes. IEEE Trans. Biomed. Eng. Simone Faccioli, Andrea Facchinetti, Giovanni Sparacino, Gianluigi Pillonetto, Simone Del Favero
2022	J	`jnl`	Linear system identification using the sequential stabilizing spline algorithm. Autom. Gianluigi Pillonetto, Alessandro Chiuso
2022	J	`jnl`	Model-Free Radio Map Estimation in Massive MIMO Systems via Semi-Parametric Gaussian Regression. IEEE Wirel. Commun. Lett. Nicolò Dal Fabbro, Michele Rossi, Gianluigi Pillonetto, Luca Schenato, Giuseppe Piro
2022	J	`jnl`	Sample Complexity and Minimax Properties of Exponentially Stable Regularized Estimators. IEEE Trans. Autom. Control. Gianluigi Pillonetto, Anna Scampicchio
2022	J	`jnl`	Sparse estimation in linear dynamic networks using the stable spline horseshoe prior. Autom. Gianluigi Pillonetto, Akram Yazdani
2021	J	`jnl`	COVID-19 epidemic control using short-term lockdowns for collective gain. Annu. Rev. Control. Mauro Bisiacco, Gianluigi Pillonetto
2021	J	`jnl`	COVID-19 epidemic control using short-term lockdowns for collective gain. CoRR Mauro Bisiacco, Gianluigi Pillonetto
2021	J	`jnl`	Estimation of sparse linear dynamic networks using the stable spline horseshoe prior. CoRR Gianluigi Pillonetto
2021	J	`jnl`	Kernel-based methods for Volterra series identification. Autom. Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto
2021	J	`jnl`	Sliding-mode theory under feedback constraints and the problem of epidemic control. CoRR Mauro Bisiacco, Gianluigi Pillonetto
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
2020	J	`jnl`	Efficient spatio-temporal Gaussian regression via Kalman filtering. Autom. Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
2020	J	`jnl`	Kernel Absolute Summability Is Sufficient but Not Necessary for RKHS Stability. SIAM J. Control. Optim. Mauro Bisiacco, Gianluigi Pillonetto
2020	J	`jnl`	Mathematical foundations of stable RKHSs. CoRR Mauro Bisiacco, Gianluigi Pillonetto
2020	J	`jnl`	On the mathematical foundations of stable RKHSs. Autom. Mauro Bisiacco, Gianluigi Pillonetto
2020	J	`jnl`	Tracking the time course of reproduction number and lockdown's effect during SARS-CoV-2 epidemic: nonparametric estimation. CoRR Gianluigi Pillonetto, Mauro Bisiacco, Giorgio Palù, Claudio Cobelli
2019	J	`jnl`	A novel Multiplicative Polynomial Kernel for Volterra series identification. CoRR Alberto Dalla Libera, Ruggero Carli, Gianluigi Pillonetto
2019	—	`conf`	Bayesian Kernel-Based Linear Control Design. CDC Anna Scampicchio, Alessandro Chiuso, Simone Formentin, Gianluigi Pillonetto
2019	J	`jnl`	Boosting as a kernel-based method. Mach. Learn. Aleksandr Y. Aravkin, Giulio Bottegal, Gianluigi Pillonetto
2019	J	`jnl`	Distributed Multi-Agent Gaussian Regression via Finite-Dimensional Approximations. IEEE Trans. Pattern Anal. Mach. Intell. Gianluigi Pillonetto, Luca Schenato, Damiano Varagnolo
2019	J	`jnl`	Fast robust methods for singular state-space models. Autom. Jonathan Jonker, Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, Sarah E. Webster
2019	J	`jnl`	Kernel absolute summability is only sufficient for RKHS stability. CoRR Mauro Bisiacco, Gianluigi Pillonetto
2019	C	`conf`	Proprioceptive Robot Collision Detection through Gaussian Process Regression. ACC Alberto Dalla Libera, Elisa Tosello, Gianluigi Pillonetto, Stefano Ghidoni, Ruggero Carli
2019	J	`jnl`	Proprioceptive Robot Collision Detection through Gaussian Process Regression. CoRR Alberto Dalla Libera, Elisa Tosello, Gianluigi Pillonetto, Stefano Ghidoni, Ruggero Carli
2019	—	`conf`	Robust Singular Smoothers for Tracking Using Low-Fidelity Data. Robotics: Science and Systems Jonathan Jonker, Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto, Sarah E. Webster
2019	J	`jnl`	Stable spline identification of linear systems under missing data. Autom. Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
2019	J	`jnl`	Stable spline identification of linear systems under missing data. CoRR Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
2019	J	`jnl`	System Identification: A Machine Learning Perspective. Annu. Rev. Control. Robotics Auton. Syst. Alessandro Chiuso, Gianluigi Pillonetto
2018	—	`conf`	A New Model Selection Approach to Hybrid Kernel-Based Estimation. CDC Anna Scampicchio, Gianluigi Pillonetto
2018	—	`conf`	Bayesian strategies for calibrating heteroskedastic static sensors with unknown model structures. ECC Anas W. Alhashimi, Simone Del Favero, Damiano Varagnolo, Thomas Gustafsson, Gianluigi Pillonetto
2018	J	`jnl`	Generalized System Identification with Stable Spline Kernels. SIAM J. Sci. Comput. Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
2018	—	`conf`	Non-Invasive Continuous-Time Blood Pressure Estimation from a Single Channel PPG Signal using Regularized ARX Models. EMBC Giada Acciaroli, Andrea Facchinetti, Gianluigi Pillonetto, Giovanni Sparacino
2018	J	`jnl`	On the stability of reproducing kernel Hilbert spaces of discrete-time impulse responses. Autom. Tianshi Chen, Gianluigi Pillonetto
2018	J	`jnl`	Prediction-error identification of LPV systems: A nonparametric Gaussian regression approach. Autom. Mohamed Abdelmonim Hassan Darwish, Pepijn Bastiaan Cox, Ioannis Proimadis, Gianluigi Pillonetto, Roland Tóth
2018	J	`jnl`	System identification using kernel-based regularization: New insights on stability and consistency issues. Autom. Gianluigi Pillonetto
2018	J	`jnl`	The generalized cross validation filter. Autom. Giulio Bottegal, Gianluigi Pillonetto
2018	J	`jnl`	The quest for the right kernel in Bayesian impulse response identification: The use of OBFs. Autom. Mohamed Abdelmonim Hassan Darwish, Gianluigi Pillonetto, Roland Tóth
2018	—	`conf`	Uncertainty Bounds for Kernel-based Regression: a Bayesian SPS Approach. MLSP Algo Carè, Gianluigi Pillonetto, Marco C. Campi
2017	J	`jnl`	A new kernel-based approach to system identification with quantized output data. Autom. Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto
2017	J	`jnl`	Distributed multi-agent Gaussian regression via Karhunen-Loève expansions. CoRR Gianluigi Pillonetto, Luca Schenato, Damiano Varagnolo
2017	J	`jnl`	Efficient Spatio-Temporal Gaussian Regression via Kalman Filtering. CoRR Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
2017	J	`jnl`	Generalized Kalman smoothing: Modeling and algorithms. Autom. Aleksandr Y. Aravkin, James V. Burke, Lennart Ljung, Aurélie C. Lozano, Gianluigi Pillonetto
2017	J	`jnl`	Maximum Entropy vector kernels for MIMO system identification. Autom. Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
2017	J	`jnl`	Multi-robots Gaussian estimation and coverage control: From client-server to peer-to-peer architectures. Autom. Marco Todescato, Andrea Carron, Ruggero Carli, Gianluigi Pillonetto, Luca Schenato
2017	—	`conf`	Statistical bounds for Gaussian regression algorithms based on Karhunen-Loève expansions. CDC Gianluigi Pillonetto, Luca Schenato, Damiano Varagnolo
2017	J	`jnl`	The Generalized Cross Validation Filter. CoRR Giulio Bottegal, Gianluigi Pillonetto
2016	J	`jnl`	A new kernel-based approach to hybrid system identification. Autom. Gianluigi Pillonetto
2016	J	`jnl`	A new kernel-based approach to system identification with quantized output data. CoRR Giulio Bottegal, Håkan Hjalmarsson, Gianluigi Pillonetto
2016	—	`conf`	A stable spline convex approach to hybrid systems identification. MLSP Gianluigi Pillonetto, Aleksandr Y. Aravkin
2016	—	`conf`	Classical vs. Bayesian methods for linear system identification: Point estimators and confidence sets. ECC Giulia Prando, Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
2016	—	`conf`	Continuous-time DC kernel - A stable generalized first order spline kernel. CDC Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
2016	—	`conf`	Machine learning meets Kalman Filtering. CDC Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
2016	J	`jnl`	Maximum entropy properties of discrete-time first-order stable spline kernel. Autom. Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2016	J	`jnl`	Newton-Raphson Consensus for Distributed Convex Optimization. IEEE Trans. Autom. Control. Damiano Varagnolo, Filippo Zanella, Angelo Cenedese, Gianluigi Pillonetto, Luca Schenato
2016	J	`jnl`	On-line Bayesian System Identification. CoRR Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
2016	—	`conf`	On-line Bayesian system identification. ECC Diego Romeres, Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
2016	J	`jnl`	Regularized linear system identification using atomic, nuclear and kernel-based norms: The role of the stability constraint. Autom. Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
2016	J	`jnl`	Robust EM kernel-based methods for linear system identification. Autom. Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto
2016	J	`jnl`	The interplay between system identification and machine learning. CoRR Gianluigi Pillonetto
2015	—	`conf`	Auto-tuning procedures for distributed nonparametric regression algorithms. ECC Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato
2015	—	`conf`	Bayesian identification of LPV Box-Jenkins models. CDC Mohamed Abdelmonim Hassan Darwish, Pepijn B. Cox, Gianluigi Pillonetto, Roland Tóth
2015	J	`jnl`	Bayesian kernel-based system identification with quantized output data. CoRR Giulio Bottegal, Gianluigi Pillonetto, Håkan Hjalmarsson
2015	—	`conf`	Identification of hybrid systems using stable spline kernels. MLSP Gianluigi Pillonetto
2015	—	`conf`	Identification of stable models via nonparametric prediction error methods. ECC Diego Romeres, Gianluigi Pillonetto, Alessandro Chiuso
2015	J	`jnl`	Maximum Entropy Vector Kernels for MIMO system identification. CoRR Giulia Prando, Gianluigi Pillonetto, Alessandro Chiuso
2015	J	`jnl`	Maximum entropy properties of discrete-time first-order stable spline kernel. CoRR Tianshi Chen, Tohid Ardeshiri, Francesca P. Carli, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2015	—	`conf`	Multi-agents adaptive estimation and coverage control using Gaussian regression. ECC Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
2015	—	`conf`	Outlier robust kernel-based system identification using ℓ1-Laplace techniques. CDC Giulio Bottegal, Håkan Hjalmarsson, Aleksandr Y. Aravkin, Gianluigi Pillonetto
2015	—	`conf`	Perspectives of orthonormal basis functions based kernels in Bayesian system identification? CDC Mohamed Abdelmonim Hassan Darwish, Gianluigi Pillonetto, Roland Tóth
2015	J	`jnl`	Regularized linear system identification using atomic, nuclear and kernel-based norms: the role of the stability constraint. CoRR Gianluigi Pillonetto, Tianshi Chen, Alessandro Chiuso, Giuseppe De Nicolao, Lennart Ljung
2015	—	`conf`	Spectral analysis of the DC kernel for regularized system identification. CDC Tianshi Chen, Gianluigi Pillonetto, Alessandro Chiuso, Lennart Ljung
2015	J	`jnl`	The Connection Between Bayesian Estimation of a Gaussian Random Field and RKHS. IEEE Trans. Neural Networks Learn. Syst. Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
2015	J	`jnl`	Tuning complexity in regularized kernel-based regression and linear system identification: The robustness of the marginal likelihood estimator. Autom. Gianluigi Pillonetto, Alessandro Chiuso
2014	—	`conf`	A new kernel-based approach for identification of time-varying linear systems. MLSP Gianluigi Pillonetto, Aleksandr Y. Aravkin
2014	—	`conf`	Anomaly detection in homogenous populations: A sparse multiple kernel-based regularization method. CDC Tianshi Chen, Martin S. Andersen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
2014	—	`conf`	Bayesian and nonparametric methods for system identification and model selection. ECC Alessandro Chiuso, Gianluigi Pillonetto
2014	—	`conf`	Bayesian and regularization approaches to multivariable linear system identification: The role of rank penalties. CDC Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
2014	J	`jnl`	Bayesian and regularization approaches to multivariable linear system identification: the role of rank penalties. CoRR Giulia Prando, Alessandro Chiuso, Gianluigi Pillonetto
2014	J	`jnl`	Convex vs non-convex estimators for regression and sparse estimation: the mean squared error properties of ARD and GLasso. J. Mach. Learn. Res. Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto
2014	J	`jnl`	Distributed Cardinality Estimation in Anonymous Networks. IEEE Trans. Autom. Control. Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato
2014	—	`conf`	Kalman smoothing with persistent nuisance parameters. MLSP Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Gianluigi Pillonetto
2014	J	`jnl`	Kernel methods in system identification, machine learning and function estimation: A survey. Autom. Gianluigi Pillonetto, Francesco Dinuzzo, Tianshi Chen, Giuseppe De Nicolao, Lennart Ljung
2014	J	`jnl`	Multi-agents adaptive estimation and coverage control using Gaussian regression. CoRR Andrea Carron, Marco Todescato, Ruggero Carli, Luca Schenato, Gianluigi Pillonetto
2014	—	`conf`	On the design of multiple kernels for nonparametric linear system identification. CDC Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
2014	J	`jnl`	Robust EM kernel-based methods for linear system identification. CoRR Giulio Bottegal, Aleksandr Y. Aravkin, Håkan Hjalmarsson, Gianluigi Pillonetto
2014	J	`jnl`	Robust and Trend-Following Student's t Kalman Smoothers. SIAM J. Control. Optim. Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
2014	J	`jnl`	System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques. IEEE Trans. Autom. Control. Tianshi Chen, Martin S. Andersen, Lennart Ljung, Alessandro Chiuso, Gianluigi Pillonetto
2014	—	`conf`	Tuning complexity in kernel-based linear system identification: The robustness of the marginal likelihood estimator. ECC Gianluigi Pillonetto, Alessandro Chiuso
2013	J	`jnl`	A multi-task learning approach for the extraction of single-trial evoked potentials. Comput. Methods Programs Biomed. Costanza D'Avanzo, Anahita Goljahani, Gianluigi Pillonetto, Giuseppe De Nicolao, Giovanni Sparacino
2013	J	`jnl`	Consistent identification of Wiener systems: A machine learning viewpoint. Autom. Gianluigi Pillonetto
2013	J	`jnl`	Distributed Kalman smoothing in static Bayesian networks. Autom. Gianluigi Pillonetto, Bradley M. Bell, Simone Del Favero
2013	J	`jnl`	Finding Potential Support Vectors in Separable Classification Problems. IEEE Trans. Neural Networks Learn. Syst. Damiano Varagnolo, Simone Del Favero, Francesco Dinuzzo, Luca Schenato, Gianluigi Pillonetto
2013	—	`conf`	Kernel-Based Model Order Selection for Linear System Identification. ALCOSP Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung
2013	—	`conf`	Kernel-based model order selection for identification and prediction of linear dynamic systems. CDC Gianluigi Pillonetto, Tianshi Chen, Lennart Ljung
2013	—	`conf`	Linear system identification using stable spline kernels and PLQ penalties. CDC Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
2013	—	`conf`	Rank-1 kernels for regularized system identification. CDC Tianshi Chen, Alessandro Chiuso, Gianluigi Pillonetto, Lennart Ljung
2013	—	`conf`	Regularization strategies for nonparametric system identification. CDC Alessandro Chiuso, Tianshi Chen, Lennart Ljung, Gianluigi Pillonetto
2013	J	`jnl`	Regularized spectrum estimation using stable spline kernels. Autom. Giulio Bottegal, Gianluigi Pillonetto
2013	J	`jnl`	Sparse/robust estimation and Kalman smoothing with nonsmooth log-concave densities: modeling, computation, and theory. J. Mach. Learn. Res. Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
2013	J	`jnl`	The exact relationship between regularization in RKHS and Bayesian estimation of Gaussian random fields CoRR Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
2012	J	`jnl`	A Bayesian approach to sparse dynamic network identification. Autom. Alessandro Chiuso, Gianluigi Pillonetto
2012	—	`conf`	Bayesian learning of probability density functions: A Markov chain Monte Carlo approach. CDC Simone Del Favero, Damiano Varagnolo, Gianluigi Pillonetto
2012	C	`conf`	Consensus based estimation of anonymous networks size using Bernoulli trials. ACC Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato
2012	J	`jnl`	Distributed parametric and nonparametric regression with on-line performance bounds computation. Autom. Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato
2012	C	`conf`	Multidimensional Newton-Raphson consensus for distributed convex optimization. ACC Filippo Zanella, Damiano Varagnolo, Angelo Cenedese, Gianluigi Pillonetto, Luca Schenato
2012	—	`conf`	Nonsmooth regression and state estimation using piecewise quadratic log-concave densities. CDC Aleksandr Y. Aravkin, James V. Burke, Gianluigi Pillonetto
2012	—	`conf`	On the estimation of hyperparameters for Bayesian system identification with exponentially decaying kernels. CDC Ruggero Carli, Tianshi Chen, Alessandro Chiuso, Lennart Ljung, Gianluigi Pillonetto
2012	J	`jnl`	Online Estimation of Covariance Parameters using Extended Kalman Filtering and Application to Robot Localization. Adv. Robotics Gianluigi Pillonetto, Gorkem Erinc, Stefano Carpin
2012	C	`conf`	Regularized spectrum estimation in spaces induced by stable spline kernels. ACC Giulio Bottegal, Gianluigi Pillonetto
2012	J	`jnl`	Sensing, Compression, and Recovery for WSNs: Sparse Signal Modeling and Monitoring Framework. IEEE Trans. Wirel. Commun. Giorgio Quer, Riccardo Masiero, Gianluigi Pillonetto, Michele Rossi, Michele Zorzi
2012	—	`conf`	Sparse multiple kernels for impulse response estimation with majorization minimization algorithms. CDC Tianshi Chen, Lennart Ljung, Martin S. Andersen, Alessandro Chiuso, Francesca Paola Carli, Gianluigi Pillonetto
2012	—	`conf`	The convergence rate of Newton-Raphson consensus optimization for quadratic cost functions. CDC Filippo Zanella, Damiano Varagnolo, Angelo Cenedese, Gianluigi Pillonetto, Luca Schenato
2011	J	`jnl`	A New Kernel-Based Approach for NonlinearSystem Identification. IEEE Trans. Autom. Control. Gianluigi Pillonetto, Minh Ha Quang, Alessandro Chiuso
2011	J	`jnl`	An IEEE Trans. Autom. Control. Aleksandr Y. Aravkin, Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
2011	J	`jnl`	Client-Server Multitask Learning From Distributed Datasets. IEEE Trans. Neural Networks Francesco Dinuzzo, Gianluigi Pillonetto, Giuseppe De Nicolao
2011	—	`conf`	Convex vs nonconvex approaches for sparse estimation: Lasso, Multiple Kernel Learning and Hyperparameter Lasso. CDC/ECC Aleksandr Y. Aravkin, James V. Burke, Alessandro Chiuso, Gianluigi Pillonetto
2011	—	`conf`	Kernel selection in linear system identification Part I: A Gaussian process perspective. CDC/ECC Gianluigi Pillonetto, Giuseppe De Nicolao
2011	A*	`conf`	Learning Output Kernels with Block Coordinate Descent. ICML Francesco Dinuzzo, Cheng Soon Ong, Peter V. Gehler, Gianluigi Pillonetto
2011	—	`conf`	Newton-Raphson consensus for distributed convex optimization. CDC/ECC Filippo Zanella, Damiano Varagnolo, Angelo Cenedese, Gianluigi Pillonetto, Luca Schenato
2011	—	`conf`	On the discardability of data in support vector classification problems. CDC/ECC Simone Del Favero, Damiano Varagnolo, Francesco Dinuzzo, Luca Schenato, Gianluigi Pillonetto
2011	J	`jnl`	Prediction error identification of linear systems: A nonparametric Gaussian regression approach. Autom. Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
2010	J	`jnl`	A new kernel-based approach for linear system identification. Autom. Gianluigi Pillonetto, Giuseppe De Nicolao
2010	J	`jnl`	Bayesian Online Multitask Learning of Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. Gianluigi Pillonetto, Francesco Dinuzzo, Giuseppe De Nicolao
2010	C	`conf`	Distributed consensus-based Bayesian estimation: sufficient conditions for performance characterization. ACC Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato
2010	—	`conf`	Distributed statistical estimation of the number of nodes in sensor networks. CDC Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato
2010	—	`conf`	Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors. NIPS Alessandro Chiuso, Gianluigi Pillonetto
2010	—	`conf`	Nonparametric sparse estimators for identification of large scale linear systems. CDC Alessandro Chiuso, Gianluigi Pillonetto
2010	C	`conf`	Regularized estimation of sums of exponentials in spaces generated by stable spline kernels. ACC Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
2010	A	`conf`	The unconstrained and inequality constrained moving horizon approach to robot localization. IROS Gianluigi Pillonetto, Aleksandr Y. Aravkin, Stefano Carpin
2009	—	`conf`	A Bayesian learning approach to linear system identification with missing data. CDC Gianluigi Pillonetto, Alessandro Chiuso
2009	J	`jnl`	An inequality constrained nonlinear Kalman-Bucy smoother by interior point likelihood maximization. Autom. Bradley M. Bell, James V. Burke, Gianluigi Pillonetto
2009	—	`conf`	Distributed function and time delay estimation using nonparametric techniques. CDC Damiano Varagnolo, Gianluigi Pillonetto, Luca Schenato
2009	J	`jnl`	Fast algorithms for nonparametric population modeling of large data sets. Autom. Gianluigi Pillonetto, Giuseppe De Nicolao, Marco Chierici, Claudio Cobelli
2009	J	`jnl`	Fast computation of smoothing splines subject to equality constraints. Autom. Gianluigi Pillonetto, Alessandro Chiuso
2009	J	`jnl`	Nonlinear Stochastic Regularization to Characterize Tissue Residue Function in Bolus-Tracking MRI: Assessment and Comparison With SVD, Block-Circulant SVD, and Tikhonov. IEEE Trans. Biomed. Eng. Francesca Zanderigo, Alessandra Bertoldo, Gianluigi Pillonetto, Claudio Cobelli
2008	C	`conf`	A new kernel-based approach for system identification. ACC Giuseppe De Nicolao, Gianluigi Pillonetto
2008	C	`conf`	Bayesian online multi-task learning using regularization networks. ACC Gianluigi Pillonetto, Francesco Dinuzzo, Giuseppe De Nicolao
2008	J	`jnl`	Client-server multi-task learning from distributed datasets CoRR Francesco Dinuzzo, Gianluigi Pillonetto, Giuseppe De Nicolao
2008	J	`jnl`	Identification of Time-Varying Systems in Reproducing Kernel Hilbert Spaces. IEEE Trans. Autom. Control. Gianluigi Pillonetto
2008	A	`conf`	Online estimation of variance parameters: Experimental results with applications to localization. IROS Gorkem Erinc, Gianluigi Pillonetto, Stefano Carpin
2008	J	`jnl`	Optimal smoothing of non-linear dynamic systems via Monte Carlo Markov chains. Autom. Gianluigi Pillonetto, Bradley M. Bell
2008	C	`conf`	Predictive power of indices derived from models of biological dynamic systems. ACC Gianluigi Pillonetto, Claudio Cobelli
2008	—	`conf`	Predictor estimation via Gaussian regression. CDC Gianluigi Pillonetto, Alessandro Chiuso, Giuseppe De Nicolao
2008	J	`jnl`	Solutions of nonlinear control and estimation problems in reproducing kernel Hilbert spaces: Existence and numerical determination. Autom. Gianluigi Pillonetto
2008	—	`conf`	Subspace identification using predictor estimation via Gaussian regression. CDC Alessandro Chiuso, Gianluigi Pillonetto, Giuseppe De Nicolao
2008	J	`jnl`	Wavelet estimation by Bayesian thresholding and model selection. Autom. Eugenio Cinquemani, Gianluigi Pillonetto
2007	J	`jnl`	Bayes and empirical Bayes semi-blind deconvolution using eigenfunctions of a prior covariance. Autom. Gianluigi Pillonetto, Bradley M. Bell
2007	C	`conf`	Efficient Nonparametric Population Modeling for Large Data Sets. ACC Giuseppe De Nicolao, Gianluigi Pillonetto, Marco Chierici, Claudio Cobelli
2007	J	`jnl`	Identifiability of the stochastic semi-blind deconvolution problem for a class of time-invariant linear systems. Autom. Gianluigi Pillonetto, Claudio Cobelli
2007	A	`conf`	Multirobot localization with unknown variance parameters using iterated Kalman filtering. IROS Gianluigi Pillonetto, Stefano Carpin
2006	J	`jnl`	A new dynamic index of insulin sensitivity. IEEE Trans. Biomed. Eng. Gianluigi Pillonetto, Andrea Caumo, Giovanni Sparacino, Claudio Cobelli
2006	—	`conf`	Glucose Production by Deconvolution in Intravenous and Oral Glucose Tolerance Tests: Role of Output Variable. EMBC Marco Chierici, Gianluigi Pillonetto, Gianna Toffolo, Claudio Cobelli
2006	J	`jnl`	Input estimation in nonlinear dynamical systems using differential algebra techniques. Autom. Gianluigi Pillonetto, Maria Pia Saccomani
2005	—	`conf`	Merging the adaptive random walks planner with the randomized potential field planner. RoMoCo Stefano Carpin, Gianluigi Pillonetto
2005	J	`jnl`	Motion planning using adaptive random walks. IEEE Trans. Robotics Stefano Carpin, Gianluigi Pillonetto
2003	—	`conf`	Bayesian Deconvolution of Functions in RKHS Using MCMC Techniques. System Modelling and Optimization Gianluigi Pillonetto, Bradley M. Bell
2003	A*	`conf`	Robot motion planning using adaptive random walks. ICRA Stefano Carpin, Gianluigi Pillonetto
2002	J	`jnl`	WINSTODEC: a stochastic deconvolution interactive program for physiological and pharmacokinetic systems. Comput. Methods Programs Biomed. Giovanni Sparacino, Gianluigi Pillonetto, Massimo Capello, Giuseppe De Nicolao, Claudio Cobelli
2001	J	`jnl`	Reconstructing insulin secretion rate after a glucose stimulus by an improved stochastic deconvolution method. IEEE Trans. Biomed. Eng. Gianluigi Pillonetto, Giovanni Sparacino, Claudio Cobelli