Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...

Abstract: Markov chain Monte Carlo (MCMC) algorithms are widely used in Bayesian inference to compute the posterior distribution of complex models, facilitating sampling from probability distributions ...

This article is part of TPM Cafe, TPM’s home for opinion and news analysis. It was originally published at Balls and Strikes. Last week, President Donald Trump’s Office of Personnel Management ...

From movement detection to real-time adjustments, the process shows how robotics mimic natural human motion. 'Toy Story 5' trailer Coffee found to have startling effect on aging, says new study ...

AI is getting expensive, and some companies are cutting back on usage in an attempt to moderate costs. That cohort includes Uber, which recently instituted internal usage caps as a way to cut down on ...