independence test

Causal Effect Estimation with Mixed Latent Confounders and Post-treatment Variables ICLR 2025 Independence Tests for Language Models ICML 2025 SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph AISTATS 2025 Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing NeurIPS 2024 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs UAI 2024 On Ranking-based Tests of Independence AISTATS 2024 Revisiting Causal Discovery from a Complexity-Theoretic Perspective IJCAI 2024 Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance AAAI 2023 Rank-Based Causal Discovery for Post-Nonlinear Models AISTATS 2023 Causal additive models with unobserved variables UAI 2021 Ancestral Causal Inference NeurIPS 2016 Consistent Distribution-Free K-Sample and Independence Tests for Univariate Random Variables JMLR 2016 Multivariate tests of association based on univariate tests NeurIPS 2016 A Kernel Independence Test for Random Processes ICML 2014 A Wild Bootstrap for Degenerate Kernel Tests NeurIPS 2014 A Kernel Test for Three-Variable Interactions NeurIPS 2013 Causal Inference on Time Series using Restricted Structural Equation Models NeurIPS 2013 Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. NeurIPS 2013 Consistent Nonparametric Tests of Independence JMLR 2010 Estimation of Information Theoretic Measures for Continuous Random Variables NeurIPS 2008 A Kernel Statistical Test of Independence NeurIPS 2007