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The Projected Covariance Measure for assumption-lean variable
  significance testing
v1v2v3v4 (latest)

The Projected Covariance Measure for assumption-lean variable significance testing

3 November 2022
A. Lundborg
Ilmun Kim
Rajen Dinesh Shah
R. Samworth
ArXiv (abs)PDFHTML

Papers citing "The Projected Covariance Measure for assumption-lean variable significance testing"

13 / 13 papers shown
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations
The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations
Dingling Yao
Shimeng Huang
Riccardo Cadei
Kun Zhang
Francesco Locatello
CML
608
3
0
23 May 2025
Deep Nonparametric Conditional Independence Tests for Images
Deep Nonparametric Conditional Independence Tests for Images
Marco Simnacher
Xiangnan Xu
Hani Park
Christoph Lippert
Sonja Greven
281
1
0
09 Nov 2024
General Frameworks for Conditional Two-Sample Testing
General Frameworks for Conditional Two-Sample Testing
Seongchan Lee
Suman Cha
Ilmun Kim
295
3
0
22 Oct 2024
Debiased Projected Two-Sample Comparisonscfor Single-Cell Expression
  Data
Debiased Projected Two-Sample Comparisonscfor Single-Cell Expression Data
Tianyu Zhang
Jing Lei
Kathryn Roeder
272
0
0
08 Mar 2024
Substitute adjustment via recovery of latent variables
Substitute adjustment via recovery of latent variables
Jeffrey Adams
Niels Richard Hansen
CML
278
2
0
01 Mar 2024
Practical Kernel Tests of Conditional Independence
Practical Kernel Tests of Conditional Independence
Roman Pogodin
Antonin Schrab
Yazhe Li
Danica J. Sutherland
Arthur Gretton
557
14
0
20 Feb 2024
Average partial effect estimation using double machine learning
Average partial effect estimation using double machine learning
Harvey Klyne
Rajen Dinesh Shah
235
4
0
17 Aug 2023
Sandwich Boosting for Accurate Estimation in Partially Linear Models for
  Grouped Data
Sandwich Boosting for Accurate Estimation in Partially Linear Models for Grouped Data
Elliot H. Young
Rajen Dinesh Shah
244
3
0
21 Jul 2023
Zipper: Addressing degeneracy in algorithm-agnostic inference
Zipper: Addressing degeneracy in algorithm-agnostic inferenceNeural Information Processing Systems (NeurIPS), 2023
Geng Chen
Yinxu Jia
Guanghui Wang
Changliang Zou
219
2
0
29 Jun 2023
Rank-transformed subsampling: inference for multiple data splitting and
  exchangeable p-values
Rank-transformed subsampling: inference for multiple data splitting and exchangeable p-values
F. R. Guo
Rajen Dinesh Shah
345
18
0
06 Jan 2023
A Permutation-Free Kernel Independence Test
A Permutation-Free Kernel Independence TestJournal of machine learning research (JMLR), 2022
S. Shekhar
Ilmun Kim
Aaditya Ramdas
202
17
0
18 Dec 2022
Reconciling model-X and doubly robust approaches to conditional
  independence testing
Reconciling model-X and doubly robust approaches to conditional independence testingAnnals of Statistics (Ann. Stat.), 2022
Ziang Niu
Abhinav Chakraborty
O. Dukes
Eugene Katsevich
273
12
0
27 Nov 2022
Nonparametric Conditional Local Independence Testing
Nonparametric Conditional Local Independence TestingAnnals of Statistics (Ann. Stat.), 2022
Alexander Mangulad Christgau
Lasse Petersen
N. Hansen
296
14
0
25 Mar 2022
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