High-Dimensional Statistical Inference for Sparse Support Vector Machines
arXiv:2610.08345v1 Announce Type: new Abstract: Using a replica-symmetric high-dimensional characterization, we develop an inferential framework for sparse support vector machines when the sample size and number of features grow proportionally. The main challenge is the nonsmooth hinge loss, which…
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- 2026-10-07 04:00 · arXiv stat.ML
High-Dimensional Statistical Inference for Sparse Support Vector Machines