linear causal model

Automating the Selection of Proxy Variables of Unmeasured Confounders ICML 2024 Identifying General Mechanism Shifts in Linear Causal Representations NeurIPS 2024 Learning Causal Abstractions of Linear Structural Causal Models UAI 2024 Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity NeurIPS 2024 On the Parameter Identifiability of Partially Observed Linear Causal Models NeurIPS 2024 Linear Causal Disentanglement via Interventions ICML 2023 ANOCE: Analysis of Causal Effects with Multiple Mediators via Constrained Structural Learning ICLR 2021 Confidence in causal discovery with linear causal models UAI 2021 Identification of Partially Observed Linear Causal Models: Graphical Conditions for the Non-Gaussian and Heterogeneous Cases NeurIPS 2021 Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets ICML 2020 Structure Learning for Cyclic Linear Causal Models UAI 2020 Learning Linear Cyclic Causal Models with Latent Variables JMLR 2012 Markov Properties for Linear Causal Models with Correlated Errors JMLR 2009