ALEXANDRIA, Va., Nov. 6 -- United States Patent no. 12,462,189, issued on Nov. 4.

"Robust and data-efficient blackbox optimization" was invented by Krzysztof Choromanski (Lincroft, N.J.), Vikas Sindhwani (Mt. Kisco, N.Y.) and Aldo Pacchiano Camacho (Berkeley, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "The present disclosure provides iterative blackbox optimization techniques that estimate the gradient of a function. According to an aspect of the present disclosure, a plurality of perturbations used at each iteration can be sampled from a non-orthogonal sampling distribution. As one example, in some implementations, perturbations that have been previously evaluated in previous iterations can be re-...