Ling Liang

Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions

Di Wu, Ling Liang, Haizhao Yang

Fast and Effective Computation of Generalized Symmetric Matrix Factorization

Lei Yang, Han Wan, Min Zhang, et al.

This paper presents a new algorithm called A-NAUM for solving a complex mathematical optimization problem called generalized symmetric matrix factorization, which is used in machine learning and image processing. The researchers prove important theoretical properties showing that their method reliably finds good solutions and demonstrate through experiments that it works efficiently in practice.