RAVAS is an online algorithm that performs adaptive sparse regression by maintaining low-dimensional sufficient statistics and dynamically incorporating newly observed features as data streams in.
arXiv preprint arXiv:2106.05925 , year=
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A convolution-smoothed and debiased SVM estimator achieves asymptotic normality for statistical inference in high-dimensional offline and online settings.
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Online Sparse Regression with Expanding Observables
RAVAS is an online algorithm that performs adaptive sparse regression by maintaining low-dimensional sufficient statistics and dynamically incorporating newly observed features as data streams in.
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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.