Convergence rates analysis of a multiobjective proximal gradient method
Sign Up to like & getrecommendations! Published in 2022 at "Optimization Letters"
DOI: 10.1007/s11590-022-01877-7
Abstract: In 2019, Tanabe et al. proposed proximal gradient methods for multiobjective optimization. Under reasonable assumptions, they proved that the accumulation points of the sequences generated by these methods are Pareto stationary. However, the convergence rates… read more here.
Keywords: optimization; convergence rates; proximal gradient; multiobjective proximal ... See more keywords