{"total":20,"rows":[{"id":"2103.02582","title":"D'ya like DAGs? A Survey on Structure Learning and Causal Discovery","created":"2021-03-03","cited_by_count":211,"area":null},{"id":"2204.04875","title":"Learning to Induce Causal Structure","created":"2022-04-11","cited_by_count":68,"area":null},{"id":"2210.09054","title":"On the Identifiability and Estimation of Causal Location-Scale Noise Models","created":"2022-10-13","cited_by_count":56,"area":null},{"id":"2208.01711","title":"Optimal Rates for Regularized Conditional Mean Embedding Learning","created":"2022-08-02","cited_by_count":50,"area":null},{"id":"2205.13085","title":"Identifying Patient-Specific Root Causes with the Heteroscedastic Noise Model","created":"2022-05-25","cited_by_count":38,"area":null},{"id":"2109.03582","title":"Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes","created":"2021-09-08","cited_by_count":27,"area":null},{"id":"2202.02896","title":"Evaluation Methods and Measures for Causal Learning Algorithms","created":"2022-02-07","cited_by_count":23,"area":null},{"id":"2106.03477","title":"BayesIMP: Uncertainty Quantification for Causal Data Fusion","created":"2021-06-07","cited_by_count":21,"area":null},{"id":"2306.02931","title":"Bivariate Causal Discovery using Bayesian Model Selection","created":"2023-06-05","cited_by_count":12,"area":null},{"id":"2102.03274","title":"On the Sample Complexity of Causal Discovery and the Value of Domain Expertise","created":"2021-02-05","cited_by_count":9,"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":"2505.16516","title":"Amortized Linear-time Exact Shapley Value for Product-Kernel Methods","created":"2025-05-22","cited_by_count":5,"area":null},{"id":"2510.18052","title":"Measure-Theoretic Anti-Causal Representation Learning","created":"2025-10-16","cited_by_count":4,"area":null},{"id":"2305.05281","title":"Causal Discovery via Conditional Independence Testing with Proxy Variables","created":"2023-05-09","cited_by_count":3,"area":null},{"id":"2602.00427","title":"Topological Residual Asymmetry for Bivariate Causal Direction","created":"2026-01-31","cited_by_count":2,"area":null},{"id":"2610.00968","title":"Structure-agnostic Causal Representation Learning","created":"2026-10-01","cited_by_count":1,"area":null},{"id":"2211.12016","title":"Variation-based Cause Effect Identification","created":"2022-11-22","cited_by_count":0,"area":null},{"id":"2401.18017","title":"Causal Discovery by Kernel Deviance Measures with Heterogeneous Transforms","created":"2024-01-31","cited_by_count":0,"area":null},{"id":"2410.09196","title":"Scalable Signature-Based Distribution Regression via Reference Sets","created":"2024-10-11","cited_by_count":0,"area":null},{"id":"2609.27256","title":"Functional Causal Discovery via Conditional Covariance Ordering","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}