Optimal Regularization Under Uncertainty: Distributional Robustness and Convexity Constraints

Oscar Leong, Eliza O'Reilly, Yong Sheng Soh

Regularization is a central tool for addressing ill-posedness in inverse problems and statistical estimation, with the choice of a suitable penalty often determining the reliabilit…