Affine estimators minimizing worst-case CVaR of squared error over a type-2 Wasserstein ambiguity set can be exactly computed via tractable SDP when the nominal distribution is finitely supported.
Distri- butionally robust control of constrained stochastic systems,
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2026 2verdicts
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A distributionally robust PAC-Bayesian approach derives sub-Gaussian loss proxies and performance bounds tied to closed-loop operator norms via system level synthesis, enabling optimization-based safety certificates for controllers facing sim-to-real gaps.
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Wasserstein Distributionally Robust Risk-Sensitive Estimation via Conditional Value-at-Risk
Affine estimators minimizing worst-case CVaR of squared error over a type-2 Wasserstein ambiguity set can be exactly computed via tractable SDP when the nominal distribution is finitely supported.
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Distributionally Robust PAC-Bayesian Control
A distributionally robust PAC-Bayesian approach derives sub-Gaussian loss proxies and performance bounds tied to closed-loop operator norms via system level synthesis, enabling optimization-based safety certificates for controllers facing sim-to-real gaps.