Subspace Fitting Meets Regression: The Effects of Supervision and
Orthonormality Constraints on Double Descent of Generalization Errors

Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors

25 February 2020

Yehuda Dar

Richard G. Baraniuk

Papers citing "Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors"

7 / 7 papers shown

Title
On the Relationship Between Double Descent of CNNs and Shape/Texture Bias Under Learning Process Shun Iwase Shuya Takahashi Nakamasa Inoue Rio Yokota Ryo Nakamura Hirokatsu Kataoka 80 0 0 04 Mar 2025
Investigating the Impact of Model Complexity in Large Language Models Jing Luo Huiyuan Wang Weiran Huang 44 0 0 01 Oct 2024
How Much Training Data is Memorized in Overparameterized Autoencoders? An Inverse Problem Perspective on Memorization Evaluation Koren Abitbul Yehuda Dar TDI 33 3 0 04 Oct 2023
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning Yehuda Dar Vidya Muthukumar Richard G. Baraniuk 43 71 0 06 Sep 2021
Double Descent and Other Interpolation Phenomena in GANs Lorenzo Luzi Yehuda Dar Richard Baraniuk 28 5 0 07 Jun 2021
Multiple Descent: Design Your Own Generalization Curve Lin Chen Yifei Min M. Belkin Amin Karbasi DRL 38 61 0 03 Aug 2020
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks Yehuda Dar Richard G. Baraniuk 36 19 0 12 Jun 2020