Inthispaper,weconsider an SA involving a contraction mapping with respect to an arbitrary norm, and show its finite-sample error bounds while using different stepsizes.

Intheoriginalformulation, observations are assumed to be exact (non-noisy), so the GP likelihood only included a small observation noise σ2obs for numerical stability [32].

In a seminal paper, Szegedy et al. [Sze+14] observed that deep networks are extremely vulnerable to adversarial examples, namely, very small perturbations to the inputs

In a seminal paper, Szegedy et al. [Sze+14] observed that deep networks are extremely vulnerable to adversarial examples, namely, very small perturbations to the inputs