Author

Andrea Martin

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Preprint Sep 2026

Finite-sample guarantees for data-driven operator splitting methods via martingale inequalities

Operator splitting methods are a fundamental class of algorithms for solving structured monotone inclusion problems arising in optimization, control, and game theory. We consider the case, common in stochastic regimes, where the forward evaluation of one of the constituent operators is either unavailable in closed form...

Andrea Martin, Filippo Fabiani, Giuseppe Belgioioso · 0 citations

Preprint Sep 2026

The Price of Distributional Robustness in Linear Quadratic Control

Distributionally robust (DR) optimization seeks decisions that perform best under the most adverse law within a given ambiguity set, enabling the design of data-driven controllers with strong out-of-sample guarantees in the face of uncertainty. In this paper, we study the conservatism introduced by safeguarding against...

Andrea Martin, Giuseppe Belgioioso · 0 citations