When Stick Figure's six-year-old song shot up the charts, the band was thrilled. But its viral moment was spurred by unauthorized AI remixes. The California-based reggae band Stick Figure has been around for 20 years, eight albums, and countless hours on the road, but lead vocalist and guitarist Scott Woodruff has never seen a track take off like "Angels Above Me" did this past week. The six-year-old song hit number one on the iTunes sales charts in six different countries, including the United Kingdom, Austria, and Canada, skyrocketing "out of nowhere," according to Woodruff. Stick Figure has had plenty of thrilling milestones before, with albums repeatedly hitting number one in the reggae category, and hit singles amassing hundreds of millions of streams.

Some related lower bounds include the work of Backurs et al. [2017] that solving kernel Support V ector Machines (SVM), ridge regression, or Principal Component Analysis (PCA) problems to high accuracy or approximating kernel density estimates up to a constant factor for kernels with

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First, we show the negativeresult that no strongly sublinear sized coresets existforlogisticregression.

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Such complexities are prohibitive for scaling to large datasets.

In the total least squares problem, one is given an m n matrix A, and an m d matrix B, and one seeks to "correct" both A and B, obtaining matrices  and B, so that there exists an X satisfying the equation ÂX = B. Typically the problem is overconstrained, meaning that m max(n, d).

We consider a least squares regression problem where the data has been generated from alinear model, and weareinterested tolearn theunknownregression parameters.

Recently,the Hutch++ algorithm was proposed, which reduces the number of matrix-vector queries fromO(1/2) to the optimalO(1/), and the algorithm succeeds with constant probability.