20 citations · 34 across the 5 of their papers we have counts for
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stat.ME2021
Algorithms for Sparse Support Vector Machines
Alfonso Landeros, Kenneth Lange
Many problems in classification involve huge numbers of irrelevant features. Model selection reveals the crucial features, reduces the dimensionality of feature space, and improves…
math.OC2021★ 13 cited
Nonconvex Optimization via MM Algorithms: Convergence Theory
Kenneth Lange, Joong-Ho Won, Alfonso Landeros +1
The majorization-minimization (MM) principle is an extremely general framework for deriving optimization algorithms. It includes the expectation-maximization (EM) algorithm, proxim…