High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification

10 July 2015

Papers citing "High-Dimensional Asymptotics of Prediction: Ridge Regression and Classification"

12 / 12 papers shown

Title
The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture Model Kaito Takanami Takashi Takahashi Ayaka Sakata 78 1 0 27 Jan 2025
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning Pierre C. Bellec Yi Shen 74 13 0 03 Jan 2025
Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning Michal Dereziñski Christopher Musco Jiaming Yang 75 2 0 09 May 2024
Understanding Optimal Feature Transfer via a Fine-Grained Bias-Variance Analysis Yufan Li Subhabrata Sen Ben Adlam MLT 117 1 0 18 Apr 2024
High-dimensional analysis of ridge regression for non-identically distributed data with a variance profile Jérémie Bigot Issa-Mbenard Dabo Camille Male 54 4 0 29 Mar 2024
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks Behrad Moniri Donghwan Lee Hamed Hassani Yan Sun MLT 69 21 0 11 Oct 2023
Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression Bhavya Agrawalla Krishnakumar Balasubramanian Promit Ghosal 51 2 0 20 Feb 2023
Benign Overfitting in Time Series Linear Models with Over-Parameterization Shogo H. Nakakita Masaaki Imaizumi AI4TS 159 5 0 18 Apr 2022
Precise High-Dimensional Asymptotics for Quantifying Heterogeneous Transfers Fan Yang Hongyang R. Zhang Sen Wu Christopher Ré Weijie J. Su 78 11 0 22 Oct 2020
Optimal Regularization Can Mitigate Double Descent Preetum Nakkiran Prayaag Venkat Sham Kakade Tengyu Ma 67 130 0 04 Mar 2020
Ridge regression and asymptotic minimax estimation over spheres of growing dimension Lee H. Dicker 61 75 0 15 Jan 2016
The LASSO risk for gaussian matrices Mohsen Bayati Andrea Montanari 139 317 0 16 Aug 2010