Natural Gradient News Today

Variational Bayes methods approximate the posterior density by a family of tractable distributions whose parameters are estimated by optimization. Variational approximation is useful when exact inference is intractable or very costly. Our article develops a flexible variational approximation based on a copula of a mixture, which is implemented by combining boosting, natural gradient, and a variance reduction method. The efficacy of the approach is illustrated by using simulated and real datasets...

Have you ever scrolled through Pinterest and marveled at those stunning fake food displays, wondering “How on earth do they make it look so real?” Then imagine having your own lifelike fabric surround your home, seamlessly blending into your decor. In this guide, we’ll learn how to make a Pinterest-worthy fabric cabbage that will look […]