{"total":15,"rows":[{"id":"2206.01152","title":"Causal Structure Learning: a Combinatorial Perspective","created":"2022-06-02","cited_by_count":46,"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":"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":"2405.13992","title":"Learning Cut Generating Functions for Integer Programming","created":"2024-05-22","cited_by_count":5,"area":null},{"id":"2207.08963","title":"The m-connecting imset and factorization for ADMG models","created":"2022-07-18","cited_by_count":4,"area":null},{"id":"2310.04469","title":"Taming Binarized Neural Networks and Mixed-Integer Programs","created":"2023-10-05","cited_by_count":4,"area":null},{"id":"2508.08450","title":"Differentiable Cyclic Causal Discovery Under Unmeasured Confounders","created":"2025-08-11","cited_by_count":4,"area":null},{"id":"2402.04777","title":"A fast score-based search algorithm for maximal ancestral graphs using entropy","created":"2024-02-07","cited_by_count":3,"area":null},{"id":"2406.15229","title":"ExDAG: an MIQP Algorithm for Learning DAGs","created":"2024-06-21","cited_by_count":1,"area":null},{"id":"2503.08245","title":"ExMAG: Learning of Maximally Ancestral Graphs","created":"2025-03-11","cited_by_count":1,"area":null},{"id":"2502.12874","title":"Testing for Causal Fairness","created":"2025-02-18","cited_by_count":0,"area":null},{"id":"2505.11089","title":"Inexact Column Generation for Bayesian Network Structure Learning via Difference-of-Submodular Optimization","created":"2025-05-16","cited_by_count":0,"area":null},{"id":"2601.05474","title":"Efficient Differentiable Causal Discovery via Reliable Super-Structure Learning","created":"2026-01-09","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":"2610.06086","title":"DAG-CLIP: A DAG Learning Framework in the Presence of Latent Variables","created":"2026-10-05","cited_by_count":0,"area":null}],"next_cursor":null}