Full article: Transfer Learning with Large-Scale Quantile Regression
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We propose a novel transfer learning procedure for high-dimensional quantile regression to properly use information from external data sources while allowing ...
Dec 13, 2022 · We develop transfer learning methods for high-dimensional quantile regression by detecting informative sources whose models are similar to the ...
Feb 16, 2024 · In this article, we propose transfer learning algorithms for high-dimensional Quantile Regression (QR) models with the technique of convolution-type smoothing.
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We develop transfer learning methods for high-dimensional quantile regression by detecting informative sources whose models are similar to the target and ...
May 2, 2023 · Abstract. This paper studies the high-dimensional quantile regression problem under the transfer learning framework, where possibly related ...
We propose a robust transfer learning method based on the composite quantile regression model that can adapt to a variety of data types and integrate multiple ...
Missing: Large- Scale
Sep 24, 2024 · This paper studies the high-dimensional quantile regression problem under the transfer learning framework, where possibly related source ...
In this work, we study the transfer learning problem under highdimensional generalized linear models (GLMs), which aim to improve the fit on target data.
We propose a transfer learning procedure in the framework of high-dimensional quantile regression models to accommodate heterogeneity and heavy tails in the ...
Missing: Scale | Show results with:Scale
This paper studies transfer learning of a high-dimensional generalized linear model with the target model as well as source data from different but possibly ...