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eess.SY2026
Finite-sample guarantees for data-driven operator splitting methods via martingale inequalities
Andrea Martin, Filippo Fabiani, Giuseppe Belgioioso
Operator splitting methods are a fundamental class of algorithms for solving structured monotone inclusion problems arising in optimization, control, and game theory. We consider t…
eess.SY2026
Generalization as a robust performance property of learning-enabled dynamical systems
Filippo Fabiani
By focusing on algorithmic stability as a means of establishing out-of-sample bounds, we provide a system-theoretic interpretation of generalization in learning-enabled dynamical s…