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. 2006.02615
  4. Cited By
Double Generative Adversarial Networks for Conditional Independence
  Testing
v1v2v3 (latest)

Double Generative Adversarial Networks for Conditional Independence Testing

3 June 2020
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
126
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
1