Conditional Independence Testing using Generative Adversarial Networks

Conditional Independence Testing using Generative Adversarial Networks

9 July 2019

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