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Double Generative Adversarial Networks for Conditional Independence Testing
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Double Generative Adversarial Networks for Conditional Independence Testing

C. Shi
Tianlin Xu
Wicher P. Bergsma
Lexin Li
ArXiv (abs)PDFHTMLGithub (9★)

Papers citing "Double Generative Adversarial Networks for Conditional Independence Testing"

12 / 12 papers shown
Title
Doubly Robust Alignment for Large Language Models
Doubly Robust Alignment for Large Language Models
Erhan Xu
Kai Ye
Hongyi Zhou
Luhan Zhu
Francesco Quinzan
Chengchun Shi
44
0
0
01 Jun 2025
Score-based Generative Modeling for Conditional Independence Testing
Score-based Generative Modeling for Conditional Independence Testing
Yixin Ren
Chenghou Jin
Yewei Xia
Li Ke
Longtao Huang
Hui Xue
Hao Zhang
Jihong Guan
S. Kevin Zhou
29
0
0
29 May 2025
Conditional Independence Test Based on Transport Maps
Conditional Independence Test Based on Transport Maps
Chenxuan He
Yuan Gao
Liping Zhu
Jian Huang
OT
80
0
0
13 Apr 2025
Statistical Inference in Reinforcement Learning: A Selective Survey
Statistical Inference in Reinforcement Learning: A Selective Survey
Chengchun Shi
OffRL
272
2
0
22 Feb 2025
Spatially Randomized Designs Can Enhance Policy Evaluation
Spatially Randomized Designs Can Enhance Policy Evaluation
Ying Yang
Chengchun Shi
Fang Yao
Shouyang Wang
Hongtu Zhu
OffRL
106
2
0
18 Mar 2024
Model-X Sequential Testing for Conditional Independence via Testing by Betting
Model-X Sequential Testing for Conditional Independence via Testing by Betting
Shalev Shaer
Gal Maman
Yaniv Romano
122
18
0
01 Oct 2022
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
A Free Lunch with Influence Functions? Improving Neural Network Estimates with Concepts from Semiparametric Statistics
M. Vowels
S. Akbari
Necati Cihan Camgöz
Richard Bowden
66
4
0
18 Feb 2022
Local permutation tests for conditional independence
Local permutation tests for conditional independence
Ilmun Kim
Matey Neykov
Sivaraman Balakrishnan
Larry A. Wasserman
98
28
0
22 Dec 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Yuejiang Liu
Riccardo Cadei
Jonas Schweizer
Sherwin Bahmani
Alexandre Alahi
OODTTA
106
53
0
29 Nov 2021
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
M. Scetbon
Laurent Meunier
Yaniv Romano
50
11
0
28 Oct 2021
Statistical Testing under Distributional Shifts
Statistical Testing under Distributional Shifts
Nikolaj Thams
Sorawit Saengkyongam
Niklas Pfister
J. Peters
OOD
124
10
0
22 May 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
147
305
0
03 Mar 2021