An Adam-adjusting-antennae BAS Algorithm for Refining Latent Factors. (arXiv:2208.06603v1 [cs.LG])

Extracting the latent information in high-dimensional and incomplete matrices
is an important and challenging issue. The Latent Factor Analysis (LFA) model
can well handle the high-dimensional matrices analysis. Recently, Particle
Swarm Optimization (PSO)-incorporated LFA models have been proposed to tune the
hyper-parameters adaptively with high efficiency. However, the incorporation of
PSO causes the premature problem. To address this issue, we propose a
sequential Adam-adjusting-antennae BAS (A2BAS) optimization algorithm, which
refines the latent factors obtained by the PSO-incorporated LFA model. The …

adam adjusting algorithm arxiv lg