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Exact post-selection inference, with application to the lasso

Exact post-selection inference, with application to the lasso

25 November 2013
Jason D. Lee
Dennis L. Sun
Yuekai Sun
Jonathan E. Taylor
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Papers citing "Exact post-selection inference, with application to the lasso"

31 / 81 papers shown
Title
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected
  Graphical Models
PANDA: AdaPtive Noisy Data Augmentation for Regularization of Undirected Graphical Models
Yinan Li
Xiao Liu
Fang Liu
29
7
0
11 Oct 2018
Prediction regions through Inverse Regression
Prediction regions through Inverse Regression
Emilie Devijver
Émeline Perthame
15
8
0
09 Jul 2018
On the Post Selection Inference constant under Restricted Isometry
  Properties
On the Post Selection Inference constant under Restricted Isometry Properties
François Bachoc
Gilles Blanchard
P. Neuvial
25
18
0
20 Apr 2018
On the length of post-model-selection confidence intervals conditional
  on polyhedral constraints
On the length of post-model-selection confidence intervals conditional on polyhedral constraints
D. Kivaranovic
Hannes Leeb
18
17
0
05 Mar 2018
Valid Inference Corrected for Outlier Removal
Valid Inference Corrected for Outlier Removal
Shuxiao Chen
Jacob Bien
29
53
0
29 Nov 2017
Sampling Without Compromising Accuracy in Adaptive Data Analysis
Sampling Without Compromising Accuracy in Adaptive Data Analysis
Benjamin Fish
L. Reyzin
Benjamin I. P. Rubinstein
50
8
0
28 Sep 2017
Selective Inference for Change Point Detection in Multi-dimensional
  Sequences
Selective Inference for Change Point Detection in Multi-dimensional Sequences
Yuta Umezu
Ichiro Takeuchi
35
10
0
01 Jun 2017
In Defense of the Indefensible: A Very Naive Approach to
  High-Dimensional Inference
In Defense of the Indefensible: A Very Naive Approach to High-Dimensional Inference
Sen Zhao
Daniela Witten
Ali Shojaie
53
58
0
16 May 2017
A Flexible Framework for Hypothesis Testing in High-dimensions
A Flexible Framework for Hypothesis Testing in High-dimensions
Adel Javanmard
Jason D. Lee
34
29
0
26 Apr 2017
Network classification with applications to brain connectomics
Network classification with applications to brain connectomics
Jesús D Arroyo Relión
Daniel A Kessler
Elizaveta Levina
S. Taylor
21
74
0
27 Jan 2017
Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned
  by SURE?
Excess Optimism: How Biased is the Apparent Error of an Estimator Tuned by SURE?
R. Tibshirani
Saharon Rosset
19
20
0
30 Dec 2016
Exponentially tilted likelihood inference on growing dimensional
  unconditional moment models
Exponentially tilted likelihood inference on growing dimensional unconditional moment models
Niansheng Tang
Xiaodong Yan
Puying Zhao
31
9
0
25 Dec 2016
Uniformly valid confidence intervals post-model-selection
Uniformly valid confidence intervals post-model-selection
François Bachoc
David Preinerstorfer
Lukas Steinberger
37
48
0
03 Nov 2016
Post Selection Inference with Kernels
Post Selection Inference with Kernels
M. Yamada
Yuta Umezu
Kenji Fukumizu
Ichiro Takeuchi
18
28
0
12 Oct 2016
MAGIC: a general, powerful and tractable method for selective inference
MAGIC: a general, powerful and tractable method for selective inference
Xiaoying Tian
Nan Bi
Jonathan E. Taylor
23
22
0
09 Jul 2016
Distribution-Free Predictive Inference For Regression
Distribution-Free Predictive Inference For Regression
Jing Lei
M. G'Sell
Alessandro Rinaldo
R. Tibshirani
Larry A. Wasserman
26
818
0
14 Apr 2016
Max-Information, Differential Privacy, and Post-Selection Hypothesis
  Testing
Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing
Ryan M. Rogers
Aaron Roth
Adam D. Smith
Om Thakkar
43
83
0
13 Apr 2016
Simultaneous Inference for High-dimensional Linear Models
Simultaneous Inference for High-dimensional Linear Models
Xianyang Zhang
Guang Cheng
21
133
0
03 Mar 2016
Degrees of Freedom for Piecewise Lipschitz Estimators
Degrees of Freedom for Piecewise Lipschitz Estimators
Frederik Riis Mikkelsen
N. Hansen
21
12
0
14 Jan 2016
How much does your data exploration overfit? Controlling bias via
  information usage
How much does your data exploration overfit? Controlling bias via information usage
D. Russo
James Zou
14
185
0
16 Nov 2015
False Discoveries Occur Early on the Lasso Path
False Discoveries Occur Early on the Lasso Path
Weijie Su
M. Bogdan
Emmanuel Candes
37
180
0
05 Nov 2015
A Unified Theory of Confidence Regions and Testing for High Dimensional
  Estimating Equations
A Unified Theory of Confidence Regions and Testing for High Dimensional Estimating Equations
Matey Neykov
Y. Ning
Jun S. Liu
Han Liu
24
77
0
30 Oct 2015
Uniformly Valid Confidence Sets Based on the Lasso
Uniformly Valid Confidence Sets Based on the Lasso
K. Ewald
U. Schneider
25
12
0
19 Jul 2015
Uniform Asymptotic Inference and the Bootstrap After Model Selection
Uniform Asymptotic Inference and the Bootstrap After Model Selection
R. Tibshirani
Alessandro Rinaldo
Robert Tibshirani
Larry A. Wasserman
38
104
0
20 Jun 2015
Selective inference with unknown variance via the square-root LASSO
Selective inference with unknown variance via the square-root LASSO
Xiaoying Tian
Joshua R. Loftus
Jonathan E. Taylor
43
38
0
29 Apr 2015
Implementable confidence sets in high dimensional regression
Implementable confidence sets in high dimensional regression
Alexandra Carpentier
37
4
0
19 Jan 2015
Asymptotics of selective inference
Asymptotics of selective inference
Xiaoying Tian
Jonathan E. Taylor
29
69
0
15 Jan 2015
High Dimensional Expectation-Maximization Algorithm: Statistical
  Optimization and Asymptotic Normality
High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality
Zhaoran Wang
Quanquan Gu
Y. Ning
Han Liu
41
53
0
30 Dec 2014
Valid confidence intervals for post-model-selection predictors
Valid confidence intervals for post-model-selection predictors
François Bachoc
Hannes Leeb
B. M. Potscher
48
53
0
15 Dec 2014
Optimal Two-Step Prediction in Regression
Optimal Two-Step Prediction in Regression
Didier Chételat
Johannes Lederer
Joseph Salmon
42
19
0
18 Oct 2014
Optimal Inference After Model Selection
Optimal Inference After Model Selection
William Fithian
Dennis L. Sun
Jonathan E. Taylor
39
332
0
09 Oct 2014
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