regularized regression - Robuta Search

https://www.econstor.eu/handle/10419/107799 EconStor: Regularized Regression Incorporating Network Information: Simultaneous Estimation of... EconStor is a publication server for scholarly economic literature, provided as a non-commercial public service by the ZBW. regularized regression network information econstor incorporating simultaneous https://deepai.org/publication/universality-of-regularized-regression-estimators-in-high-dimensions Universality of regularized regression estimators in high dimensions | DeepAI Jun 16, 2022 - 06/16/22 - The Convex Gaussian Min-Max Theorem (CGMT) has emerged as a prominent theoretical tool for analyzing the precise stochastic behavi... regularized regression high dimensions universality estimators deepai https://openreview.net/forum?id=CkMCh4bBHh&referrer=%5Bthe%20profile%20of%20Pierre%20Marion%5D(%2Fprofile%3Fid%3D~Pierre_Marion1) Deep linear networks for regression are implicitly regularized towards flat minima | OpenReview The largest eigenvalue of the Hessian, or sharpness, of neural networks is a key quantity to understand their optimization dynamics. In this paper, we study... https://deepai.org/publication/network-regularized-sparse-logistic-regression-models-for-clinical-risk-prediction-and-biomarker-discovery Network-regularized Sparse Logistic Regression Models for Clinical Risk Prediction and Biomarker... Sep 21, 2016 - 09/21/16 - Molecular profiling data (e.g., gene expression) has been used for clinical risk prediction and biomarker discovery. However, it i... logistic regression https://openreview.net/forum?id=w22e5MrS4X&referrer=%5Bthe%20profile%20of%20Pierre%20Marion%5D(%2Fprofile%3Fid%3D~Pierre_Marion1) Large Stepsizes Accelerate Gradient Descent for Regularized Logistic Regression | OpenReview We study *gradient descent* (GD) with a constant stepsize for $\ell_2$-regularized logistic regression with linearly separable data. Classical theory suggests... gradient descent logistic regression large accelerate openreview https://jmlr.org/papers/v22/20-1005.html Learning a High-dimensional Linear Structural Equation Model via l1-Regularized Regression structural equation model high dimensional https://www.aanda.org/articles/aa/ref/2019/09/aa35945-19/aa35945-19.html Exploring helical dynamos with machine learning: Regularized linear regression outperforms ensemble... machine learning linear regression exploring helical dynamos https://openreview.net/forum?id=F738WY1Xm4&referrer=%5Bthe%20profile%20of%20Pierre%20Marion%5D(%2Fprofile%3Fid%3D~Pierre_Marion1) Deep linear networks for regression are implicitly regularized towards flat minima | OpenReview The largest eigenvalue of the Hessian, or sharpness, of neural networks is a key quantity to understand their optimization dynamics. In this paper, we study...