{"total":48,"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":"2105.11839","title":"DiBS: Differentiable Bayesian Structure Learning","created":"2021-05-25","cited_by_count":106,"area":null},{"id":"2305.10032","title":"A Survey on Causal Discovery: Theory and Practice","created":"2023-05-17","cited_by_count":63,"area":null},{"id":"2206.07824","title":"Large-Scale Differentiable Causal Discovery of Factor Graphs","created":"2022-06-15","cited_by_count":47,"area":null},{"id":"2206.06821","title":"DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models","created":"2022-06-14","cited_by_count":41,"area":null},{"id":"2109.02429","title":"Learning Neural Causal Models with Active Interventions","created":"2021-09-06","cited_by_count":40,"area":null},{"id":"2206.02063","title":"Active Bayesian Causal Inference","created":"2022-06-04","cited_by_count":35,"area":null},{"id":"2303.15027","title":"A Survey on Causal Discovery Methods for I.I.D. and Time Series Data","created":"2023-03-27","cited_by_count":35,"area":null},{"id":"2311.04284","title":"CRAB: Assessing the Strength of Causal Relationships Between Real-world Events","created":"2023-11-07","cited_by_count":28,"area":null},{"id":"2206.01665","title":"BaCaDI: Bayesian Causal Discovery with Unknown Interventions","created":"2022-06-03","cited_by_count":26,"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":"2208.14571","title":"Truncated Matrix Power Iteration for Differentiable DAG Learning","created":"2022-08-30","cited_by_count":23,"area":null},{"id":"2403.00781","title":"ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework","created":"2024-02-18","cited_by_count":20,"area":null},{"id":"2208.05126","title":"D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias","created":"2022-08-10","cited_by_count":18,"area":null},{"id":"2206.06685","title":"Causal Discovery for Fairness","created":"2022-06-14","cited_by_count":16,"area":null},{"id":"2106.08971","title":"Model-Based Counterfactual Synthesizer for Interpretation","created":"2021-06-16","cited_by_count":14,"area":null},{"id":"2110.00637","title":"ML4C: Seeing Causality Through Latent Vicinity","created":"2021-10-01","cited_by_count":11,"area":null},{"id":"2207.08457","title":"A Meta-Reinforcement Learning Algorithm for Causal Discovery","created":"2022-07-18","cited_by_count":11,"area":null},{"id":"2211.06919","title":"Towards Privacy-Aware Causal Structure Learning in Federated Setting","created":"2022-11-13","cited_by_count":11,"area":null},{"id":"2208.01529","title":"CIPCaD-Bench: Continuous Industrial Process datasets for benchmarking Causal Discovery methods","created":"2022-08-02","cited_by_count":10,"area":null},{"id":"2301.11898","title":"DAG Learning on the Permutahedron","created":"2023-01-27","cited_by_count":9,"area":null},{"id":"2102.02137","title":"BeFair: Addressing Fairness in the Banking Sector","created":"2021-02-03","cited_by_count":8,"area":null},{"id":"2201.11941","title":"Unifying Pairwise Interactions in Complex Dynamics","created":"2022-01-28","cited_by_count":8,"area":null},{"id":"2305.15936","title":"Learning DAGs from Data with Few Root Causes","created":"2023-05-25","cited_by_count":8,"area":null},{"id":"2209.04480","title":"Granger Causal Chain Discovery for Sepsis-Associated Derangements via Continuous-Time Hawkes Processes","created":"2022-09-09","cited_by_count":6,"area":null},{"id":"2106.04741","title":"Marginalizable Density Models","created":"2021-06-08","cited_by_count":4,"area":null},{"id":"2305.18210","title":"Learning Causal Graphs via Monotone Triangular Transport Maps","created":"2023-05-26","cited_by_count":4,"area":null},{"id":"2405.13092","title":"CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research","created":"2024-05-21","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":"2109.04626","title":"A Fast PC Algorithm with Reversed-order Pruning and A Parallelization Strategy","created":"2021-09-10","cited_by_count":3,"area":null},{"id":"2204.00762","title":"Do learned representations respect causal relationships?","created":"2022-04-02","cited_by_count":3,"area":null},{"id":"2307.04988","title":"Benchmarking Bayesian Causal Discovery Methods for Downstream Treatment Effect Estimation","created":"2023-07-11","cited_by_count":3,"area":null},{"id":"2408.17183","title":"Causal Reasoning in Software Quality Assurance: A Systematic Review","created":"2024-08-30","cited_by_count":3,"area":null},{"id":"2206.08531","title":"Reframed GES with a Neural Conditional Dependence Measure","created":"2022-06-17","cited_by_count":2,"area":null},{"id":"2301.10859","title":"Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data","created":"2023-01-25","cited_by_count":2,"area":null},{"id":"2404.05746","title":"Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods","created":"2024-04-03","cited_by_count":2,"area":null},{"id":"2406.04598","title":"OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework","created":"2024-06-07","cited_by_count":2,"area":null},{"id":"2110.07938","title":"Identifying Causal Influences on Publication Trends and Behavior: A Case Study of the Computational Linguistics Community","created":"2021-10-15","cited_by_count":1,"area":null},{"id":"2201.12003","title":"BCDAG: An R package for Bayesian structure and Causal learning of Gaussian DAGs","created":"2022-01-28","cited_by_count":1,"area":null},{"id":"2210.13507","title":"Causal Explanation for Reinforcement Learning: Quantifying State and Temporal Importance","created":"2022-10-24","cited_by_count":1,"area":null},{"id":"2404.05148","title":"Generalized Criterion for Identifiability of Additive Noise Models Using Majorization","created":"2024-04-08","cited_by_count":1,"area":null},{"id":"2512.01708","title":"Differentially Private and Federated Structure Learning in Bayesian Networks","created":"2025-12-01","cited_by_count":1,"area":null},{"id":"2604.05829","title":"Bivariate Causal Discovery Using Rate-Distortion MDL: An Information Dimension Approach","created":"2026-04-07","cited_by_count":1,"area":null},{"id":"2606.01789","title":"Consistency evaluation of benchmarks used for causal discovery","created":"2026-06-01","cited_by_count":1,"area":null},{"id":"2307.13757","title":"UPREVE: An End-to-End Causal Discovery Benchmarking System","created":"2023-07-25","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":"2512.10053","title":"LxCIM: a new rank-based binary classifier performance metric invariant to local exchange of classes","created":"2025-12-10","cited_by_count":0,"area":null},{"id":"2609.28105","title":"Fed-ReMasker: Federated Tabular Imputation under Feature-Level Missingness","created":"2026-09-23","cited_by_count":0,"area":null}],"next_cursor":null}