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Machine learning meets Kalman Filtering., , , , and . CDC, page 4594-4599. IEEE, (2016)A stable spline convex approach to hybrid systems identification., and . MLSP, page 1-6. IEEE, (2016)Solutions of nonlinear control and estimation problems in reproducing kernel Hilbert spaces: Existence and numerical determination.. Automatica, 44 (8): 2135-2141 (2008)Fast computation of smoothing splines subject to equality constraints., and . Automatica, 45 (12): 2842-2849 (2009)Optimal smoothing of non-linear dynamic systems via Monte Carlo Markov chains., and . Automatica, 44 (7): 1676-1685 (2008)Distributed parametric and nonparametric regression with on-line performance bounds computation., , and . Automatica, 48 (10): 2468-2481 (2012)Tuning complexity in kernel-based linear system identification: The robustness of the marginal likelihood estimator., and . ECC, page 2386-2391. IEEE, (2014)Nonparametric sparse estimators for identification of large scale linear systems., and . CDC, page 2942-2947. IEEE, (2010)Outlier robust kernel-based system identification using ℓ1-Laplace techniques., , , and . CDC, page 2109-2114. IEEE, (2015)Newton-Raphson consensus for distributed convex optimization., , , , and . CDC-ECE, page 5917-5922. IEEE, (2011)