AIHT is an online sparse quantile regression method with adaptive thresholding that achieves logarithmic regret under restricted curvature and gradient-leakage conditions.
and Ritov, Ya'acov and Tsybakov, Alexandre B
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Adaptive Iterative Hard Thresholding for Online High-dimensional Quantile Regression
AIHT is an online sparse quantile regression method with adaptive thresholding that achieves logarithmic regret under restricted curvature and gradient-leakage conditions.