Regularization in High-Dimensional Regression and Classification via Random Matrix Theory

30 March 2020

Papers citing "Regularization in High-Dimensional Regression and Classification via Random Matrix Theory"

4 / 4 papers shown

Title
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning Yehuda Dar Vidya Muthukumar Richard G. Baraniuk 31 71 0 06 Sep 2021
Precise Statistical Analysis of Classification Accuracies for Adversarial Training Adel Javanmard Mahdi Soltanolkotabi AAML 26 62 0 21 Oct 2020
A Model of Double Descent for High-dimensional Binary Linear Classification Zeyu Deng A. Kammoun Christos Thrampoulidis 36 144 0 13 Nov 2019
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 108 1,154 0 04 Mar 2015