{"version":"1.0","type":"link","title":"Proximal gradient methods for learning - Newikis","description":"Proximal gradient (forward backward splitting) methods for learning is an area of research in optimization and statistical learning theory which studies algorithms for a general class of convex regularization problems where the regularization penalty may not be differentiable. One such example is…","provider_name":"Newikis","provider_url":"https://newikis.com","cache_age":86400}