Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo. [PDF]
Heng Q, Zhou H, Chi EC.
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In recent years, in optimization theory, there has been a growing use of optimization models of real decision-making processes related to the activities of modern humans, in which the hypotheses are not verifiable in a way typical of classical optimization.
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Decentralized Primal-Dual Proximal Operator Algorithm for Constrained Nonsmooth Composite Optimization Problems over Networks. [PDF]
Feng L +5 more
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Control learning rate for autism facial detection via deep transfer learning. [PDF]
El Mouatasim A, Ikermane M.
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The global convergence properties of an adaptive QP-free method without a penalty function or a filter for minimax optimization. [PDF]
Su K, Liu S, Lu W.
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A two-stage stochastic variational inequality model for storage and dynamic distribution of medical supplies in epidemic management. [PDF]
Li M, Zhang C, Ding M, Lv R.
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Exact penalty method for minimizing of nonsmooth functions on convex sets
Vladimir V. Karelin +2 more
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FedEHR: A Federated Learning Approach towards the Prediction of Heart Diseases in IoT-Based Electronic Health Records. [PDF]
Bebortta S +3 more
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Convex optimization algorithms in medical image reconstruction-in the age of AI. [PDF]
Xu J, Noo F.
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OSCAR: Optimal subset cardinality regression using the L0-pseudonorm with applications to prognostic modelling of prostate cancer. [PDF]
Halkola AS +5 more
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