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Degrees of Freedom and Model Search
9 February 2014
Robert Tibshirani
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Papers citing
"Degrees of Freedom and Model Search"
25 / 25 papers shown
Variable Selection Using Relative Importance Rankings
Tien-En Chang
Argon Chen
87
1
0
13 Sep 2025
Differentiable Generalized Sliced Wasserstein Plans
Laetitia Chapel
Romain Tavenard
Samuel Vaiter
OT
523
6
0
28 May 2025
Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
Alicia Curth
Alan Jeffares
M. Schaar
UQCV
245
20
0
02 Feb 2024
Error Reduction from Stacked Regressions
Xin Chen
Jason M. Klusowski
Yan Shuo Tan
246
4
0
18 Sep 2023
Degrees of Freedom: Search Cost and Self-consistency
Journal of Computational And Graphical Statistics (JCGS), 2023
Lijun Wang
Hongyu Zhao
Xiaodan Fan
137
0
0
25 Aug 2023
The Voronoigram: Minimax Estimation of Bounded Variation Functions From Scattered Data
Addison J. Hu
Alden Green
Robert Tibshirani
329
4
0
30 Dec 2022
A nonparametric regression alternative to empirical Bayes approaches to simultaneous estimation
Alton Barbehenn
S. Zhao
266
4
0
30 Apr 2022
Deep Learning meets Nonparametric Regression: Are Weight-Decayed DNNs Locally Adaptive?
International Conference on Learning Representations (ICLR), 2022
Kaiqi Zhang
Yu Wang
450
13
0
20 Apr 2022
Unbiased Risk Estimation in the Normal Means Problem via Coupled Bootstrap Techniques
Natalia L. Oliveira
Jing Lei
Robert Tibshirani
295
11
0
17 Nov 2021
yaglm: a Python package for fitting and tuning generalized linear models that supports structured, adaptive and non-convex penalties
Iain Carmichael
T. Keefe
Naomi Giertych
Jonathan P. Williams
205
2
0
11 Oct 2021
Rethinking Deep Image Prior for Denoising
IEEE International Conference on Computer Vision (ICCV), 2021
Yeonsik Jo
S. Chun
Jonghyun Choi
AI4CE
220
68
0
29 Aug 2021
Bridging between soft and hard thresholding by scaling
K. Hagiwara
142
6
0
20 Apr 2021
Revisiting minimum description length complexity in overparameterized models
Raaz Dwivedi
Chandan Singh
Bin Yu
Martin J. Wainwright
519
5
0
17 Jun 2020
Degrees of freedom for off-the-grid sparse estimation
Bernoulli (Bernoulli), 2019
C. Poon
Gabriel Peyré
288
3
0
08 Nov 2019
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success
Journal of machine learning research (JMLR), 2019
L. Mentch
Siyu Zhou
351
93
0
01 Nov 2019
Computing the degrees of freedom of rank-regularized estimators and cousins
Electronic Journal of Statistics (EJS), 2019
Rahul Mazumder
Haolei Weng
146
4
0
23 Sep 2019
Degrees of Freedom and Model Selection for k-means Clustering
David P. Hofmeyr
188
20
0
06 Jun 2018
A comment on Stein's unbiased risk estimate for reduced rank estimators
N. Hansen
134
11
0
31 Aug 2017
Subset Selection with Shrinkage: Sparse Linear Modeling when the SNR is low
Operational Research (OR), 2017
Rahul Mazumder
P. Radchenko
Antoine Dedieu
802
65
0
10 Aug 2017
Gradient-based Regularization Parameter Selection for Problems with Non-smooth Penalty Functions
Jean Feng
N. Simon
167
24
0
28 Mar 2017
Additive Models with Trend Filtering
Annals of Statistics (Ann. Stat.), 2017
Veeranjaneyulu Sadhanala
Robert Tibshirani
461
60
0
16 Feb 2017
Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE?
Journal of the American Statistical Association (JASA), 2016
Robert Tibshirani
Saharon Rosset
349
21
0
30 Dec 2016
Prediction error after model search
Xiaoying Tian Harris
341
21
0
19 Oct 2016
Degrees of Freedom for Piecewise Lipschitz Estimators
Frederik Riis Mikkelsen
N. Hansen
591
12
0
14 Jan 2016
Graph Connectivity in Noisy Sparse Subspace Clustering
Yining Wang
Yu Wang
Aarti Singh
318
9
0
04 Apr 2015
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