The Implicit Regularization of Ordinary Least Squares Ensembles

The Implicit Regularization of Ordinary Least Squares Ensembles

10 October 2019

Richard G. Baraniuk

Papers citing "The Implicit Regularization of Ordinary Least Squares Ensembles"

13 / 13 papers shown

Title
Mallows-type model averaging: Non-asymptotic analysis and all-subset combination Jingfu Peng MoMe 37 0 0 05 May 2025
Asymptotics of resampling without replacement in robust and logistic regression Pierre C. Bellec Takuya Koriyama 24 1 0 02 Apr 2024
Generalized equivalences between subsampling and ridge regularization Pratik V. Patil Jin-Hong Du 44 5 0 29 May 2023
Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation Jin-Hong Du Pratik V. Patil Arun K. Kuchibhotla 29 11 0 25 Apr 2023
Extrapolated cross-validation for randomized ensembles Jin-Hong Du Pratik V. Patil Kathryn Roeder Arun K. Kuchibhotla 15 5 0 27 Feb 2023
Bagging Provides Assumption-free Stability Jake A. Soloff Rina Foygel Barber Rebecca Willett 24 9 0 30 Jan 2023
A Simple Algorithm For Scaling Up Kernel Methods Tengyu Xu Bryan Kelly Semyon Malamud 30 0 0 26 Jan 2023
Asymptotics of the Sketched Pseudoinverse Daniel LeJeune Pratik V. Patil Hamid Javadi Richard G. Baraniuk R. Tibshirani 27 10 0 07 Nov 2022
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles Luqin Gan Lili Zheng Genevera I. Allen 39 6 0 05 Jun 2022
Estimation under Model Misspecification with Fake Features Martin Hellkvist Ayça Özçelikkale Anders Ahlén 27 11 0 07 Mar 2022
On the Convergence of Shallow Neural Network Training with Randomly Masked Neurons Fangshuo Liao Anastasios Kyrillidis 59 16 0 05 Dec 2021
MP-Boost: Minipatch Boosting via Adaptive Feature and Observation Sampling Taha Toghani Genevera I. Allen 14 9 0 14 Nov 2020
Exact expressions for double descent and implicit regularization via surrogate random design Michal Derezinski Feynman T. Liang Michael W. Mahoney 27 77 0 10 Dec 2019