Ariance Reduction 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...

Variance Reduction System reduces ad discrimination on Meta's platforms. As Meta promised to reduce ad discrimination on its platforms, the company rolled out an AI system that targets discriminating advertisements in the United States.