Bob) update her actions in the odd rounds so that, regardless of Bob's

Bob) update her actions in the odd rounds so that, regardless of Bob's

Retinal vessel segmentation is generally grounded in image-based datasets collected with bench-top devices.

Several approaches to predictive uncertainty quantification have been introduced in recent years, considering uncertainty inaBayesian sense [2,7,18]aswell asfrom afrequentist'spoint ofview [15,5,34].

Algorithmic stability is a key characteristic of an algorithm regarding its sensitivity to perturbations of input samples. In this paper,we propose an innovativeunsupervised feature selection algorithm attaining this stability with provable guarantees.

Wealso provide improvedregret bounds when theothers' maximum bid exhibits the further structure of sparsity.