{"total":38,"rows":[{"id":"2210.01798","title":"Latent Hierarchical Causal Structure Discovery with Rank Constraints","created":"2022-10-01","cited_by_count":51,"area":null},{"id":"2312.11001","title":"A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables","created":"2023-12-18","cited_by_count":33,"area":null},{"id":"2305.19582","title":"Causal Discovery with Latent Confounders Based on Higher-Order Cumulants","created":"2023-05-31","cited_by_count":16,"area":null},{"id":"2210.11021","title":"Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models","created":"2022-10-20","cited_by_count":13,"area":null},{"id":"2308.06718","title":"Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables","created":"2023-08-13","cited_by_count":11,"area":null},{"id":"2405.16225","title":"Local Causal Structure Learning in the Presence of Latent Variables","created":"2024-05-25","cited_by_count":11,"area":null},{"id":"2211.03984","title":"Causal Discovery in Linear Latent Variable Models Subject to Measurement Error","created":"2022-11-08","cited_by_count":7,"area":null},{"id":"2406.02049","title":"Causal Effect Identification in LiNGAM Models with Latent Confounders","created":"2024-06-04","cited_by_count":7,"area":null},{"id":"2407.16975","title":"On the Parameter Identifiability of Partially Observed Linear Causal Models","created":"2024-07-24","cited_by_count":7,"area":null},{"id":"2410.06407","title":"A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery","created":"2024-10-08","cited_by_count":7,"area":null},{"id":"2406.10537","title":"Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version)","created":"2024-06-15","cited_by_count":6,"area":null},{"id":"2408.04907","title":"Causal Discovery of Linear Non-Gaussian Causal Models with Unobserved Confounding","created":"2024-08-09","cited_by_count":6,"area":null},{"id":"2405.20856","title":"Parameter identification in linear non-Gaussian causal models under general confounding","created":"2024-05-31","cited_by_count":5,"area":null},{"id":"2502.07646","title":"Causal Additive Models with Unobserved Causal Paths and Backdoor Paths","created":"2025-02-11","cited_by_count":5,"area":null},{"id":"2111.00341","title":"Causal Discovery in Linear Structural Causal Models with Deterministic Relations","created":"2021-10-30","cited_by_count":4,"area":null},{"id":"2510.12503","title":"The Robustness of Differentiable Causal Discovery in Misspecified Scenarios","created":"2025-10-14","cited_by_count":4,"area":null},{"id":"2603.04780","title":"Distributional Equivalence in Linear Non-Gaussian Latent-Variable Cyclic Causal Models: Characterization and Learning","created":"2026-03-05","cited_by_count":4,"area":null},{"id":"2411.05625","title":"Cross-validating causal discovery via Leave-One-Variable-Out","created":"2024-11-08","cited_by_count":3,"area":null},{"id":"2506.05202","title":"Causal Effect Identification in lvLiNGAM from Higher-Order Cumulants","created":"2025-06-05","cited_by_count":3,"area":null},{"id":"2507.10767","title":"Causal Discovery for Linear Non-Gaussian Models with Disjoint Cycles","created":"2025-07-14","cited_by_count":3,"area":null},{"id":"2605.20396","title":"Score-Based Causal Discovery of Latent Variable Causal Models","created":"2026-05-19","cited_by_count":3,"area":null},{"id":"2401.16661","title":"Generalization of LiNGAM that allows confounding","created":"2024-01-30","cited_by_count":2,"area":null},{"id":"2405.16130","title":"Automating the Selection of Proxy Variables of Unmeasured Confounders","created":"2024-05-25","cited_by_count":2,"area":null},{"id":"2506.11756","title":"Causal Effect Identification in Heterogeneous Environments from Higher-Order Moments","created":"2025-06-13","cited_by_count":2,"area":null},{"id":"2510.04378","title":"Score-based Greedy Search for Structure Identification of Partially Observed Linear Causal Models","created":"2025-10-05","cited_by_count":2,"area":null},{"id":"2605.10163","title":"Coarsening Linear Non-Gaussian Causal Models with Cycles","created":"2026-05-11","cited_by_count":2,"area":null},{"id":"2101.06614","title":"Disentangling Observed Causal Effects from Latent Confounders using Method of Moments","created":"2021-01-17","cited_by_count":1,"area":null},{"id":"2211.10008","title":"Confounder Balancing for Instrumental Variable Regression with Latent Variable","created":"2022-11-18","cited_by_count":1,"area":null},{"id":"2311.00674","title":"Recovering Linear Causal Models with Latent Variables via Cholesky Factorization of Covariance Matrix","created":"2023-11-01","cited_by_count":1,"area":null},{"id":"2311.00923","title":"A Review and Roadmap of Deep Causal Model from Different Causal Structures and Representations","created":"2023-11-02","cited_by_count":1,"area":null},{"id":"2401.05414","title":"On the Three Demons in Causality in Finance: Time Resolution, Nonstationarity, and Latent Factors","created":"2023-12-28","cited_by_count":1,"area":null},{"id":"2407.19426","title":"Causal Discovery in Linear Models with Unobserved Variables and Measurement Error","created":"2024-07-28","cited_by_count":1,"area":null},{"id":"2509.15197","title":"Consistent Bayesian causal discovery for structural equation models with equal error variances","created":"2025-09-18","cited_by_count":1,"area":null},{"id":"2406.19573","title":"On Counterfactual Interventions in Vector Autoregressive Models","created":"2024-06-27","cited_by_count":0,"area":null},{"id":"2507.18170","title":"Trek-Based Parameter Identification for Linear Causal Models With Arbitrarily Structured Latent Variables","created":"2025-07-24","cited_by_count":0,"area":null},{"id":"2602.23800","title":"Operationalizing Longitudinal Causal Discovery Under Real-World Workflow Constraints","created":"2026-02-27","cited_by_count":0,"area":null},{"id":"2604.22416","title":"From Local to Cluster: A Unified Framework for Causal Discovery with Latent Variables","created":"2026-04-24","cited_by_count":0,"area":null},{"id":"2607.05984","title":"Learning Sparsest Linear Causal DAGs with Latent Confounders via Higher-Order Cumulants","created":"2026-07-07","cited_by_count":0,"area":null}],"next_cursor":null}