A convolution-smoothed and debiased SVM estimator achieves asymptotic normality for statistical inference in high-dimensional offline and online settings.
Proceedings of human language technologies: the 2009 annual conference of the North American Chapter of the Association for Computational Linguistics , pages=
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Statistical Inference for Smoothed Support Vector Machines in High Dimensions: From Offline to Online Data
A convolution-smoothed and debiased SVM estimator achieves asymptotic normality for statistical inference in high-dimensional offline and online settings.