latent confounding

Causal Discovery in Mixtures of Populations UAI 2026 Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding AAAI 2025 Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding CLeaR 2025 Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs UAI 2024 Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming UAI 2024 Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias ICML 2024 Beyond the Markov Equivalence Class: Extending Causal Discovery under Latent Confounding CLeaR 2023 Causal Discovery for time series from multiple datasets with latent contexts UAI 2023 Causal Discovery with Unobserved Confounding and Non-Gaussian Data JMLR 2023 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning ICLR 2023 Sample-Specific Root Causal Inference with Latent Variables CLeaR 2023 Causal Discovery in Linear Structural Causal Models with Deterministic Relations CLeaR 2022 On the Completeness of Causal Discovery in the Presence of Latent Confounding with Tiered Background Knowledge AISTATS 2020