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conftrace_

conditional independence test

56 papers

CI TEST CIT

Papers

DIET: Conditional independence testing with marginal dependence measures of residual information AISTATS 2023 Differentially Private Nonlinear Causal Discovery from Numerical Data AAAI 2023 Nearest-Neighbor Sampling Based Conditional Independence Testing AAAI 2023 Vector Causal Inference between Two Groups of Variables AAAI 2023 A Distribution Free Conditional Independence Test with Applications to Causal Discovery JMLR 2022 A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data AAAI 2022 Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery AAAI 2022 The Dual PC Algorithm for Structure Learning PGM 2022 A Bayesian nonparametric conditional two-sample test with an application to Local Causal Discovery UAI 2021 An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios IJCAI 2021 How to Gain on Power: Novel Conditional Independence Tests Based on Short Expansion of Conditional Mutual Information JMLR 2021 Necessary and sufficient conditions for causal feature selection in time series with latent common causes ICML 2021 Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias NeurIPS 2021 Constraing-Based Learning for Continous-Time Bayesian Networks PGM 2020 High-recall causal discovery for autocorrelated time series with latent confounders NeurIPS 2020 Learning Bayesian Networks with Cops and Robbers PGM 2020 Towards practical differentially private causal graph discovery NeurIPS 2020 Conditional Independence Testing using Generative Adversarial Networks NeurIPS 2019 Recursively Learning Causal Structures Using Regression-Based Conditional Independence Test AAAI 2019 Selecting causal brain features with a single conditional independence test per feature NeurIPS 2019 Towards Robust Relational Causal Discovery UAI 2019 A Bayesian Approach for Inferring Local Causal Structure in Gene Regulatory Networks PGM 2018 Learning Non-parametric Markov Networks with Mutual Information PGM 2018 Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM 2018 Model-Powered Conditional Independence Test NeurIPS 2017