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Out-of-sample error estimate for robust M-estimators with convex penalty

Out-of-sample error estimate for robust M-estimators with convex penalty

26 August 2020
Pierre C. Bellec
ArXivPDFHTML

Papers citing "Out-of-sample error estimate for robust M-estimators with convex penalty"

5 / 5 papers shown
Title
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
45
13
0
03 Jan 2025
Estimating Generalization Performance Along the Trajectory of Proximal
  SGD in Robust Regression
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression
Kai Tan
Pierre C. Bellec
26
0
0
03 Oct 2024
Distributional bias compromises leave-one-out cross-validation
Distributional bias compromises leave-one-out cross-validation
George I. Austin
I. Pe’er
T. Korem
47
1
0
03 Jun 2024
De-biasing convex regularized estimators and interval estimation in
  linear models
De-biasing convex regularized estimators and interval estimation in linear models
Pierre C. Bellec
Cun-Hui Zhang
24
20
0
26 Dec 2019
Evaluation and selection of models for out-of-sample prediction when the
  sample size is small relative to the complexity of the data-generating
  process
Evaluation and selection of models for out-of-sample prediction when the sample size is small relative to the complexity of the data-generating process
Hannes Leeb
76
36
0
22 Feb 2008
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