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A Survey of Tuning Parameter Selection for High-dimensional Regression

A Survey of Tuning Parameter Selection for High-dimensional Regression

Annual Review of Statistics and Its Application (ARSIA), 2019
10 August 2019
Y. Wu
Lan Wang
ArXiv (abs)PDFHTML

Papers citing "A Survey of Tuning Parameter Selection for High-dimensional Regression"

5 / 5 papers shown
pared: Model selection using multi-objective optimization
pared: Model selection using multi-objective optimization
Priyam Das
Sarah Robinson
Christine B. Peterson
194
0
0
27 May 2025
Tuning parameter selection in econometrics
Tuning parameter selection in econometrics
Denis Chetverikov
295
4
0
05 May 2024
Optimal tuning-free convex relaxation for noisy matrix completion
Optimal tuning-free convex relaxation for noisy matrix completionIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2022
Yuepeng Yang
Cong Ma
366
8
0
12 Jul 2022
Online Regularization towards Always-Valid High-Dimensional Dynamic
  Pricing
Online Regularization towards Always-Valid High-Dimensional Dynamic Pricing
ChiHua Wang
Zhanyu Wang
W. Sun
Guang Cheng
349
11
0
05 Jul 2020
A working likelihood approach to support vector regression with a
  data-driven insensitivity parameter
A working likelihood approach to support vector regression with a data-driven insensitivity parameterInternational Journal of Machine Learning and Cybernetics (IJMLC), 2020
Jinran Wu
You‐Gan Wang
109
18
0
09 Mar 2020
1
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