Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures
PulseAugur coverage of Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures — every cluster mentioning Difference-of-Convex optimization for variational kl-corrected inference in dirichlet process mixtures across labs, papers, and developer communities, ranked by signal.
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New algorithm tackles complex non-convex optimization problems
Researchers have developed a new algorithm for online optimization of complex non-convex problems. The proposed Proximal Linear Algorithm, based on a time-smoothed approach and a proximal residual mapping, offers a meth…
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New algorithm tackles complex non-convex optimization problems
Researchers have developed a new algorithm for online optimization of complex non-convex problems. The proposed time-smoothed proximal linear algorithm addresses problems involving difference-of-convex functions compose…