Abstract Inverse problems consist of recovering a signal from collection noisy measurements. These can often be cast as feasibility problems; however, additional regularization is typically necessary to ensure accurate and stable recovery with respect data perturbations. Hand-chosen analytic yield desirable theoretical guarantees, but such approaches have limited effectiveness signals due their...