Aug 20, 2024 · In this paper, we propose a novel adaptive robust feature interaction selection model for regression with heavy-tailed distributions, termed Adaptive Robust ...
In this paper, we propose a novel adaptive robust feature interaction selection model for regression with heavy-tailed distributions, termed Adaptive Robust ...
Nov 21, 2024 · In this paper, we propose a novel adaptive robust feature interaction selection model for regression with heavy-tailed distributions, termed ...
Abstract · Robust multi-view learning via adaptive regression · Communication-efficient surrogate quantile regression for non-randomly distributed system · RHDSI: ...
ARFIS: An adaptive robust model for regression with heavy-tailed distribution. https://doi.org/10.1016/j.ins.2024.121344 ·. Journal: Information Sciences ...
Fan J Q, A shrinkage principle for heavy-tailed data: High-dimensional robust low-rank matrix recovery, Annals of Statistics, № 49, с. 1239; Sabato D S Hsu, ...
ARFIS: An adaptive robust model for regression with heavy-tailed distribution. ... A robust adaptive linear regression method for severe noise. Knowl. Inf ...
Heavy-tailed regression with a generalized median-of-means
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This work proposes a simple and computationally efficient estimator for linear regression, and other smooth and strongly convex loss minimization problems.
We investigate the high-dimensional properties of robust regression estimators in the presence of heavy-tailed contamination of both the covariates and ...
Missing: ARFIS: | Show results with:ARFIS:
May 31, 2024 · Abstract. We investigate the high-dimensional properties of robust regression estimators in the pres- ence of heavy-tailed contamination of ...
Missing: ARFIS: | Show results with:ARFIS: