T result, wegicover(see Arthur and Vassilvitskii(2007) and Lemma4.1 inthispaper).

In contrast, the mathematics needed to analyze such schemes is what forms the focus in Stochastic Approximation (SA) theory [2, 4]. More generally, SA refers to an iterative scheme that helps find zeroes or optimal points of a function, for which only noisy evaluationsarepossible.

However, the simple power-law relation becomes more complicated when compute is considered.

K isthenumber ofpatches that are grouped from the input points.

Existing works usually estimate the missing shape by decoding a latent feature encoded from the input points.

Weight optimum andavoids difference consists latent-space.