2 papers
cs.LG2023
Globally Convergent Accelerated Algorithms for Multilinear Sparse Logistic Regression with -constraints
Weifeng Yang, Wenwen Min
Tensor data represents a multidimensional array. Regression methods based on low-rank tensor decomposition leverage structural information to reduce the parameter count. Multilinea…
math.OC2023
An Accelerated Block Proximal Framework with Adaptive Momentum for Nonconvex and Nonsmooth Optimization
Weifeng Yang, Wenwen Min
We propose an accelerated block proximal linear framework with adaptive momentum (ABPL) for nonconvex and nonsmooth optimization. We analyze the potential causes of the extrapo…