{"total":24,"rows":[{"id":"2305.10032","title":"A Survey on Causal Discovery: Theory and Practice","created":"2023-05-17","cited_by_count":63,"area":null},{"id":"2206.01665","title":"BaCaDI: Bayesian Causal Discovery with Unknown Interventions","created":"2022-06-03","cited_by_count":26,"area":null},{"id":"2406.01823","title":"Causal Discovery with Fewer Conditional Independence Tests","created":"2024-06-03","cited_by_count":13,"area":null},{"id":"2211.14897","title":"Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions","created":"2022-11-27","cited_by_count":12,"area":null},{"id":"2302.08070","title":"Local Causal Discovery for Estimating Causal Effects","created":"2023-02-16","cited_by_count":10,"area":null},{"id":"2503.07302","title":"When Selection Meets Intervention: Additional Complexities in Causal Discovery","created":"2025-03-10","cited_by_count":10,"area":null},{"id":"2309.12032","title":"Expert-Aided Causal Discovery of Ancestral Graphs","created":"2023-09-21","cited_by_count":8,"area":null},{"id":"2501.10124","title":"Gene Regulatory Network Inference in the Presence of Selection Bias and Latent Confounders","created":"2025-01-17","cited_by_count":7,"area":null},{"id":"2102.12685","title":"A Local Method for Identifying Causal Relations under Markov Equivalence","created":"2021-02-25","cited_by_count":6,"area":null},{"id":"2205.05715","title":"Causal discovery under a confounder blanket","created":"2022-05-11","cited_by_count":6,"area":null},{"id":"2408.16218","title":"Large-Scale Targeted Cause Discovery via Learning from Simulated Data","created":"2024-08-29","cited_by_count":6,"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":"2502.13132","title":"Learning to Defer for Causal Discovery with Imperfect Experts","created":"2025-02-18","cited_by_count":2,"area":null},{"id":"2509.25800","title":"Characterization and Learning of Causal Graphs with Latent Confounders and Post-treatment Selection from Interventional Data","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2105.10350","title":"Definite Non-Ancestral Relations and Structure Learning","created":"2021-05-20","cited_by_count":1,"area":null},{"id":"2112.10574","title":"Hybrid Bayesian network discovery with latent variables by scoring multiple interventions","created":"2021-12-20","cited_by_count":1,"area":null},{"id":"2401.13009","title":"Comparative Study of Causal Discovery Methods for Cyclic Models with Hidden Confounders","created":"2024-01-23","cited_by_count":1,"area":null},{"id":"2505.06542","title":"dcFCI: Robust Causal Discovery Under Latent Confounding, Unfaithfulness, and Mixed Data","created":"2025-05-10","cited_by_count":1,"area":null},{"id":"2505.15866","title":"Multi-omic Causal Discovery using Genotypes and Gene Expression","created":"2025-05-21","cited_by_count":1,"area":null},{"id":"2603.21844","title":"On the Number of Conditional Independence Tests in Constraint-based Causal Discovery","created":"2026-03-23","cited_by_count":1,"area":null},{"id":"2503.19554","title":"Causal Bayesian Optimization with Unknown Graphs","created":"2025-03-25","cited_by_count":0,"area":null},{"id":"2605.06288","title":"A Topological Sorting Criterion for Random Causal Directed Acyclic Graphs","created":"2026-05-07","cited_by_count":0,"area":null},{"id":"2607.04527","title":"Causal ASCEND: Scalable Two-tier Causal Discovery on High Dimensional Multi-omics Data","created":"2026-07-05","cited_by_count":0,"area":null},{"id":"2607.10456","title":"Integrating Background Knowledge for Scalable Causal Discovery","created":"2026-07-11","cited_by_count":0,"area":null}],"next_cursor":null}