Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration

Hong Ye Tan, Subhadip Mukherjee, Junqi Tang +1

Learning-to-optimize (L2O) is an emerging research area in large-scale optimization with applications in data science. Recently, researchers have proposed a novel L2O framework cal…