Dimensionality reduction, regularization, and generalization in overparameterized regressions

23 November 2020

Papers citing "Dimensionality reduction, regularization, and generalization in overparameterized regressions"

5 / 5 papers shown

Title
LoRanPAC: Low-rank Random Features and Pre-trained Models for Bridging Theory and Practice in Continual Learning Liangzu Peng Juan Elenter Joshua Agterberg Alejandro Ribeiro René Vidal VLM CLL 55 1 0 01 Oct 2024
Least Squares Regression Can Exhibit Under-Parameterized Double Descent Xinyue Li Rishi Sonthalia 51 3 0 24 May 2023
Characterizing the Spectrum of the NTK via a Power Series Expansion Michael Murray Hui Jin Benjamin Bowman Guido Montúfar 43 11 0 15 Nov 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms Joshua Agterberg Jeremias Sulam 36 0 0 08 Feb 2022
Double Trouble in Double Descent : Bias and Variance(s) in the Lazy Regime Stéphane dÁscoli Maria Refinetti Giulio Biroli Florent Krzakala 100 152 0 02 Mar 2020