conftrace_

conditional independence test

37 papers

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Also known as

CI TEST CIT

Co-occurring keywords

causal discovery (460) conditional independence (113) causal inference (1630) causal structure learning (63) structure learning (341) bayesian network (378) mutual information (724) graphical model (864) hypothesis testing (254) causal graph (140)

Papers

Recursive Causal Discovery (Abstract Reprint) AAAI 2026
MCF-Spouse: A Multi-Label Causal Feature Selection Method with Optimal Spouses Discovery IJCAI 2025
Covariate Shift Corrected Conditional Randomization Test NIPS 2024
Deep anytime-valid hypothesis testing AISTATS 2024
Structural perspective on constraint-based learning of Markov networks AISTATS 2024
Differentially Private Conditional Independence Testing AISTATS 2024
Membership Testing in Markov Equivalence Classes via Independence Queries AISTATS 2024
Causal-Driven Skill Prerequisite Structure Discovery AAAI 2024
Vector Causal Inference between Two Groups of Variables AAAI 2023
DIET: Conditional independence testing with marginal dependence measures of residual information AISTATS 2023
A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023
Differentially Private Nonlinear Causal Discovery from Numerical Data AAAI 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023
A Distribution Free Conditional Independence Test with Applications to Causal Discovery JMLR 2022
The Dual PC Algorithm for Structure Learning PGM 2022
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery AAAI 2022
A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data AAAI 2022
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias NIPS 2021
A Bayesian nonparametric conditional two-sample test with an application to Local Causal Discovery UAI 2021
Necessary and sufficient conditions for causal feature selection in time series with latent common causes ICML 2021
An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios IJCAI 2021
High-recall causal discovery for autocorrelated time series with latent confounders NIPS 2020
Learning Bayesian Networks with Cops and Robbers PGM 2020
Towards practical differentially private causal graph discovery NIPS 2020
Towards Robust Relational Causal Discovery UAI 2019