Adaptive block coordinate DIRECT algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Global Optimization"
DOI: 10.1007/s10898-017-0541-x
Abstract: DIviding RECTangles (DIRECT) is an efficient and popular method in dealing with bound constrained optimization problems. However, DIRECT suffers from dimension curse, since its computational complexity soars when dimension increases. Besides, DIRECT also converges slowly… read more here.
Keywords: block coordinate; coordinate; direct algorithm; coordinate direct ... See more keywords
Random Block Coordinate Descent Methods for Linearly Constrained Optimization over Networks
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DOI: 10.1007/s10957-016-1058-z
Abstract: In this paper we develop random block coordinate descent methods for minimizing large-scale linearly constrained convex problems over networks. Since coupled constraints appear in the problem, we devise an algorithm that updates in parallel at… read more here.
Keywords: linearly constrained; descent methods; coordinate descent; random block ... See more keywords
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent
Sign Up to like & getrecommendations! Published in 2022 at "IEEE journal of biomedical and health informatics"
DOI: 10.1109/jbhi.2022.3140455
Abstract: Actuated by the growing attention to personal healthcare and the pandemic, the popularity of E-health is proliferating. Nowadays, enhancement on medical diagnosis via machine learning models has been highly effective in many aspects of e-health… read more here.
Keywords: health analytics; block coordinate; health; coordinate descent ... See more keywords
Decentralized Randomized Block-Coordinate FrankâWolfe Algorithms for Submodular Maximization Over Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2021.3112691
Abstract: We consider decentralized large-scale continuous submodular constrained optimization problems over networks, where the goal is to maximize a sum of nonconvex functions with diminishing returns property. However, the computations of the projection step and the… read more here.
Keywords: randomized block; tex math; inline formula; block coordinate ... See more keywords