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Consistent Risk Estimation in Moderately High-Dimensional Linear
  Regression
v1v2v3 (latest)

Consistent Risk Estimation in Moderately High-Dimensional Linear Regression

5 February 2019
Ji Xu
A. Maleki
Kamiar Rahnama Rad
Daniel J. Hsu
ArXiv (abs)PDFHTML

Papers citing "Consistent Risk Estimation in Moderately High-Dimensional Linear Regression"

7 / 7 papers shown
Title
Training NTK to Generalize with KARE
Training NTK to Generalize with KARE
Johannes Schwab
Bryan Kelly
Semyon Malamud
Teng Andrea Xu
149
0
0
16 May 2025
Simultaneous analysis of approximate leave-one-out cross-validation and mean-field inference
Pierre C Bellec
116
0
0
05 Jan 2025
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning
Derivatives and residual distribution of regularized M-estimators with application to adaptive tuning
Pierre C. Bellec
Yi Shen
124
13
0
03 Jan 2025
RandALO: Out-of-sample risk estimation in no time flat
RandALO: Out-of-sample risk estimation in no time flat
Parth Nobel
Daniel LeJeune
Emmanuel J. Candès
115
3
0
15 Sep 2024
Precise analysis of ridge interpolators under heavy correlations -- a
  Random Duality Theory view
Precise analysis of ridge interpolators under heavy correlations -- a Random Duality Theory view
Mihailo Stojnic
54
1
0
13 Jun 2024
Failure and success of the spectral bias prediction for Kernel Ridge
  Regression: the case of low-dimensional data
Failure and success of the spectral bias prediction for Kernel Ridge Regression: the case of low-dimensional data
Umberto M. Tomasini
Antonio Sclocchi
Matthieu Wyart
72
12
0
07 Feb 2022
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Surprises in High-Dimensional Ridgeless Least Squares Interpolation
Trevor Hastie
Andrea Montanari
Saharon Rosset
Robert Tibshirani
302
747
0
19 Mar 2019
1