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1907.04068
Cited By
Conditional Independence Testing using Generative Adversarial Networks
9 July 2019
Alexis Bellot
M. Schaar
CML
GAN
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Papers citing
"Conditional Independence Testing using Generative Adversarial Networks"
17 / 17 papers shown
Title
Statistical Inference in Reinforcement Learning: A Selective Survey
Chengchun Shi
OffRL
67
0
0
22 Feb 2025
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency
Alan Nawzad Amin
Andrew Gordon Wilson
CML
34
1
0
13 Jun 2024
Demystifying amortized causal discovery with transformers
Francesco Montagna
Max Cairney-Leeming
Dhanya Sridhar
Francesco Locatello
CML
57
1
0
27 May 2024
A Survey on Causal Discovery Methods for I.I.D. and Time Series Data
Uzma Hasan
Emam Hossain
Md. Osman Gani
CML
AI4TS
31
24
0
27 Mar 2023
CDANs: Temporal Causal Discovery from Autocorrelated and Non-Stationary Time Series Data
Muhammad Hasan Ferdous
Uzma Hasan
Md. Osman Gani
CML
32
3
0
07 Feb 2023
Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou
Shaoan Xie
Guang-Yuan Hao
Shiming Chen
Erdun Gao
Xiwei Xu
Chen Wang
Liming Zhu
Lina Yao
Anton van den Hengel
AI4CE
55
11
0
29 Jan 2023
Composite Feature Selection using Deep Ensembles
F. Imrie
Alexander Norcliffe
Pietro Lio'
M. Schaar
42
11
0
01 Nov 2022
Model-X Sequential Testing for Conditional Independence via Testing by Betting
Shalev Shaer
Gal Maman
Yaniv Romano
30
16
0
01 Oct 2022
Conditional Independence Testing via Latent Representation Learning
Bao Duong
T. Nguyen
BDL
CML
23
6
0
04 Sep 2022
DIET: Conditional independence testing with marginal dependence measures of residual information
Mukund Sudarshan
A. Puli
Wesley Tansey
Rajesh Ranganath
21
2
0
18 Aug 2022
Learning to Increase the Power of Conditional Randomization Tests
Shalev Shaer
Yaniv Romano
CML
26
2
0
03 Jul 2022
Local permutation tests for conditional independence
Ilmun Kim
Matey Neykov
Sivaraman Balakrishnan
Larry A. Wasserman
20
27
0
22 Dec 2021
Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective
Yuejiang Liu
Riccardo Cadei
Jonas Schweizer
Sherwin Bahmani
Alexandre Alahi
OOD
TTA
35
51
0
29 Nov 2021
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
M. Scetbon
Laurent Meunier
Yaniv Romano
28
10
0
28 Oct 2021
Data-Driven Representations for Testing Independence: Modeling, Analysis and Connection with Mutual Information Estimation
Mauricio E. Gonzalez
Jorge F. Silva
M. Videla
Marcos E. Orchard
34
10
0
27 Oct 2021
Secure PAC Bayesian Regression via Real Shamir Secret Sharing
Jaron Skovsted Gundersen
Bulut Kuskonmaz
R. Wisniewski
28
1
0
23 Sep 2021
D'ya like DAGs? A Survey on Structure Learning and Causal Discovery
M. Vowels
Necati Cihan Camgöz
Richard Bowden
CML
37
296
0
03 Mar 2021
1