ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1311.6238
  4. Cited By
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
ArXivPDFHTML

Papers citing "Exact post-selection inference, with application to the lasso"

50 / 80 papers shown
Title
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
PCS-UQ: Uncertainty Quantification via the Predictability-Computability-Stability Framework
Abhineet Agarwal
Michael Xiao
Rebecca L. Barter
Omer Ronen
Boyu Fan
Bin Yu
39
0
0
13 May 2025
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
Extended Fiducial Inference for Individual Treatment Effects via Deep Neural Networks
Sehwan Kim
F. Liang
FedML
63
0
0
04 May 2025
Statistical Inference for Clustering-based Anomaly Detection
Statistical Inference for Clustering-based Anomaly Detection
Nguyen Thi Minh Phu
Duong Tan Loc
Vo Nguyen Le Duy
32
0
0
25 Apr 2025
Post-Transfer Learning Statistical Inference in High-Dimensional Regression
Post-Transfer Learning Statistical Inference in High-Dimensional Regression
Nguyen Vu Khai Tam
Cao Huyen My
Vo Nguyen Le Duy
31
0
0
25 Apr 2025
SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
SNPL: Simultaneous Policy Learning and Evaluation for Safe Multi-Objective Policy Improvement
Brian Cho
Ana-Roxana Pop
Ariel Evince
Nathan Kallus
OffRL
46
0
0
17 Mar 2025
Improving prediction accuracy by choosing resampling distribution via
  cross-validation
Improving prediction accuracy by choosing resampling distribution via cross-validation
Wataru Yoshida
Kei Hirose
19
0
0
10 Apr 2024
Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage
Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage
Ying Jin
Zhimei Ren
46
7
0
06 Mar 2024
Selective Inference for Changepoint detection by Recurrent Neural
  Network
Selective Inference for Changepoint detection by Recurrent Neural Network
Tomohiro Shiraishi
Daiki Miwa
Vo Nguyen Le Duy
Ichiro Takeuchi
20
4
0
25 Nov 2023
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models
Sparsified Simultaneous Confidence Intervals for High-Dimensional Linear Models
Xiaorui Zhu
Yi Qin
Peng Wang
18
0
0
14 Jul 2023
On the hierarchical Bayesian modelling of frequency response functions
On the hierarchical Bayesian modelling of frequency response functions
T. Dardeno
K. Worden
N. Dervilis
Robin S. Mills
L. Bull
25
8
0
12 Jul 2023
Information criteria for structured parameter selection in high
  dimensional tree and graph models
Information criteria for structured parameter selection in high dimensional tree and graph models
M. Jansen
21
3
0
24 Jun 2023
Generalized Data Thinning Using Sufficient Statistics
Generalized Data Thinning Using Sufficient Statistics
Ameer Dharamshi
Anna Neufeld
Keshav Motwani
Lucy L. Gao
Daniela Witten
Jacob Bien
32
13
0
22 Mar 2023
Valid P-Value for Deep Learning-Driven Salient Region
Valid P-Value for Deep Learning-Driven Salient Region
Daiki Miwa
Vo Nguyen Le Duy
I. Takeuchi
FAtt
AAML
32
14
0
06 Jan 2023
Locally Simultaneous Inference
Locally Simultaneous Inference
Tijana Zrnic
William Fithian
32
4
0
18 Dec 2022
Confidence Intervals for Unobserved Events
Confidence Intervals for Unobserved Events
Amichai Painsky
20
1
0
06 Nov 2022
Graphical Model Inference with Erosely Measured Data
Graphical Model Inference with Erosely Measured Data
Lili Zheng
Genevera I. Allen
13
1
0
20 Oct 2022
Model interpretation using improved local regression with variable
  importance
Model interpretation using improved local regression with variable importance
Gilson Y. Shimizu
Rafael Izbicki
A. Carvalho
FAtt
10
3
0
12 Sep 2022
Two-Stage Robust and Sparse Distributed Statistical Inference for
  Large-Scale Data
Two-Stage Robust and Sparse Distributed Statistical Inference for Large-Scale Data
Emadaldin Mozafari-Majd
V. Koivunen
14
4
0
17 Aug 2022
Valid Inference after Causal Discovery
Valid Inference after Causal Discovery
Paula Gradu
Tijana Zrnic
Yixin Wang
Michael I. Jordan
CML
26
8
0
11 Aug 2022
Communication-efficient Distributed Newton-like Optimization with
  Gradients and M-estimators
Communication-efficient Distributed Newton-like Optimization with Gradients and M-estimators
Ziyan Yin
32
0
0
13 Jul 2022
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and
  Powerful Approach Using Minipatch Ensembles
Model-Agnostic Confidence Intervals for Feature Importance: A Fast and Powerful Approach Using Minipatch Ensembles
Luqin Gan
Lili Zheng
Genevera I. Allen
34
6
0
05 Jun 2022
Holistic Generalized Linear Models
Holistic Generalized Linear Models
Benjamin Schwendinger
Florian Schwendinger
Laura Vana
AI4CE
17
2
0
30 May 2022
Uniformly Valid Inference Based on the Lasso in Linear Mixed Models
Uniformly Valid Inference Based on the Lasso in Linear Mixed Models
P. Kramlinger
U. Schneider
Tatyana Krivobokova
23
2
0
08 Apr 2022
Selective inference for k-means clustering
Selective inference for k-means clustering
Yiqun T. Chen
Daniela Witten
27
43
0
29 Mar 2022
Data fission: splitting a single data point
Data fission: splitting a single data point
James Leiner
Boyan Duan
Larry A. Wasserman
Aaditya Ramdas
41
32
0
21 Dec 2021
An Overview of Healthcare Data Analytics With Applications to the
  COVID-19 Pandemic
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
Z. Fei
Y. Ryeznik
O. Sverdlov
C. Tan
Weng Kee Wong
27
20
0
25 Nov 2021
MMD Aggregated Two-Sample Test
MMD Aggregated Two-Sample Test
Antonin Schrab
Ilmun Kim
Mélisande Albert
Béatrice Laurent
Benjamin Guedj
Arthur Gretton
14
56
0
28 Oct 2021
The Terminating-Random Experiments Selector: Fast High-Dimensional
  Variable Selection with False Discovery Rate Control
The Terminating-Random Experiments Selector: Fast High-Dimensional Variable Selection with False Discovery Rate Control
Jasin Machkour
Michael Muma
Daniel P. Palomar
24
11
0
12 Oct 2021
Exact Statistical Inference for the Wasserstein Distance by Selective
  Inference
Exact Statistical Inference for the Wasserstein Distance by Selective Inference
Vo Nguyen Le Duy
Ichiro Takeuchi
37
14
0
29 Sep 2021
Whiteout: when do fixed-X knockoffs fail?
Whiteout: when do fixed-X knockoffs fail?
Xiao Li
William Fithian
18
9
0
30 Jun 2021
Sampling with Mirrored Stein Operators
Sampling with Mirrored Stein Operators
Jiaxin Shi
Chang-rui Liu
Lester W. Mackey
49
19
0
23 Jun 2021
Tree-Values: selective inference for regression trees
Tree-Values: selective inference for regression trees
Anna Neufeld
Lucy L. Gao
Daniela Witten
31
20
0
15 Jun 2021
Fast and More Powerful Selective Inference for Sparse High-order
  Interaction Model
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model
Diptesh Das
Vo Nguyen Le Duy
Hiroyuki Hanada
Koji Tsuda
Ichiro Takeuchi
26
17
0
09 Jun 2021
More Powerful Conditional Selective Inference for Generalized Lasso by
  Parametric Programming
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming
Vo Nguyen Le Duy
Ichiro Takeuchi
40
33
0
11 May 2021
Conditional Selective Inference for Robust Regression and Outlier
  Detection using Piecewise-Linear Homotopy Continuation
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation
Toshiaki Tsukurimichi
Yu Inatsu
Vo Nguyen Le Duy
Ichiro Takeuchi
47
22
0
22 Apr 2021
Causal Inference with Invalid Instruments: Post-selection Problems and A
  Solution Using Searching and Sampling
Causal Inference with Invalid Instruments: Post-selection Problems and A Solution Using Searching and Sampling
Zijian Guo
CML
29
13
0
14 Apr 2021
Forward Stability and Model Path Selection
Forward Stability and Model Path Selection
N. Kissel
L. Mentch
37
13
0
05 Mar 2021
Machine Learning Advances for Time Series Forecasting
Machine Learning Advances for Time Series Forecasting
Ricardo P. Masini
M. C. Medeiros
Eduardo F. Mendes
AI4TS
21
273
0
23 Dec 2020
Quantifying Statistical Significance of Neural Network-based Image
  Segmentation by Selective Inference
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference
Vo Nguyen Le Duy
S. Iwazaki
Ichiro Takeuchi
27
17
0
05 Oct 2020
Sparse Confidence Sets for Normal Mean Models
Sparse Confidence Sets for Normal Mean Models
Y. Ning
Guang Cheng
32
2
0
17 Aug 2020
Lasso Inference for High-Dimensional Time Series
Lasso Inference for High-Dimensional Time Series
R. Adámek
Stephan Smeekes
Ines Wilms
AI4TS
32
33
0
21 Jul 2020
Conditional calibration for false discovery rate control under
  dependence
Conditional calibration for false discovery rate control under dependence
William Fithian
Lihua Lei
26
46
0
20 Jul 2020
Selective Inference for Additive and Linear Mixed Models
Selective Inference for Additive and Linear Mixed Models
David Rügamer
Philipp F. M. Baumann
S. Greven
39
11
0
15 Jul 2020
FANOK: Knockoffs in Linear Time
FANOK: Knockoffs in Linear Time
Armin Askari
Quentin Rebjock
Alexandre d’Aspremont
L. Ghaoui
18
4
0
15 Jun 2020
Computing Valid p-value for Optimal Changepoint by Selective Inference
  using Dynamic Programming
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming
Vo Nguyen Le Duy
Hiroki Toda
Ryota Sugiyama
Ichiro Takeuchi
19
39
0
21 Feb 2020
Statistical significance in high-dimensional linear mixed models
Statistical significance in high-dimensional linear mixed models
Lina Lin
Mathias Drton
Ali Shojaie
35
5
0
16 Dec 2019
More Powerful Selective Kernel Tests for Feature Selection
More Powerful Selective Kernel Tests for Feature Selection
Jen Ning Lim
M. Yamada
Wittawat Jitkrittum
Y. Terada
S. Matsui
Hidetoshi Shimodaira
53
9
0
14 Oct 2019
On rank estimators in increasing dimensions
On rank estimators in increasing dimensions
Yanqin Fan
Fang Han
Wei Li
Xiao‐Hua Zhou
28
16
0
14 Aug 2019
LassoNet: A Neural Network with Feature Sparsity
LassoNet: A Neural Network with Feature Sparsity
Ismael Lemhadri
Feng Ruan
L. Abraham
Robert Tibshirani
29
122
0
29 Jul 2019
Sample Splitting and Weak Assumption Inference For Time Series
Sample Splitting and Weak Assumption Inference For Time Series
Robert Lunde
16
2
0
20 Feb 2019
12
Next