Search alternatives:
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
final sparse » final phase (Expand Search), final part (Expand Search)
based codon » based color (Expand Search), based cohort (Expand Search), based action (Expand Search)
linear optimization » lead optimization (Expand Search), after optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
binary based » library based (Expand Search), linac based (Expand Search), binary mask (Expand Search)
final sparse » final phase (Expand Search), final part (Expand Search)
based codon » based color (Expand Search), based cohort (Expand Search), based action (Expand Search)
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Efficient Distributed Learning over Decentralized Networks with Convoluted Support Vector Machine
Published 2025“…Second, we show that, after a sufficient number of ADMM iterations, the final sparse estimate attains the optimal statistical convergence rate and accurately recovers the true support of the underlying parameters. …”
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Group Selection and Shrinkage: Structured Sparsity for Semiparametric Additive Models
Published 2024“…As an application requiring structure, we study sparse semiparametric additive modeling, a procedure that allows the effect of each predictor to be zero, linear, or nonlinear. …”