{"total":28,"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":"2102.13647","title":"Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy To Game","created":"2021-02-26","cited_by_count":161,"area":null},{"id":"2209.08037","title":"DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization","created":"2022-09-16","cited_by_count":140,"area":null},{"id":"2111.14820","title":"Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective","created":"2021-11-29","cited_by_count":40,"area":null},{"id":"2305.17277","title":"Optimizing NOTEARS Objectives via Topological Swaps","created":"2023-05-26","cited_by_count":17,"area":null},{"id":"2110.08223","title":"Simultaneous Missing Value Imputation and Structure Learning with Groups","created":"2021-10-15","cited_by_count":16,"area":null},{"id":"2201.09194","title":"Distributed Learning of Generalized Linear Causal Networks","created":"2022-01-23","cited_by_count":13,"area":null},{"id":"2209.07970","title":"Causal Fourier Analysis on Directed Acyclic Graphs and Posets","created":"2022-09-16","cited_by_count":12,"area":null},{"id":"2301.11898","title":"DAG Learning on the Permutahedron","created":"2023-01-27","cited_by_count":9,"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":"2410.06163","title":"Markov Equivalence and Consistency in Differentiable Structure Learning","created":"2024-10-08","cited_by_count":7,"area":null},{"id":"2306.17361","title":"iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models","created":"2023-06-30","cited_by_count":5,"area":null},{"id":"2202.01748","title":"Sequentially learning the topological ordering of causal directed acyclic graphs with likelihood ratio scores","created":"2022-02-03","cited_by_count":3,"area":null},{"id":"2203.09611","title":"STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity","created":"2022-03-17","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":"2107.10450","title":"Learning Sparse Fixed-Structure Gaussian Bayesian Networks","created":"2021-07-22","cited_by_count":2,"area":null},{"id":"2301.00629","title":"Learning and interpreting asymmetry-labeled DAGs: a case study on COVID-19 fear","created":"2023-01-02","cited_by_count":2,"area":null},{"id":"2106.15365","title":"Learning complex dependency structure of gene regulatory networks from high dimensional micro-array data with Gaussian Bayesian networks","created":"2021-06-28","cited_by_count":1,"area":null},{"id":"2107.01658","title":"Learning Bayesian Networks through Birkhoff Polytope: A Relaxation Method","created":"2021-07-04","cited_by_count":1,"area":null},{"id":"2108.09501","title":"A Stochastic Variance-Reduced Coordinate Descent Algorithm for Learning Sparse Bayesian Network from Discrete High-Dimensional Data","created":"2021-08-21","cited_by_count":1,"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":"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":"2408.11977","title":"An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models","created":"2024-08-21","cited_by_count":1,"area":null},{"id":"2312.17047","title":"Inconsistency of cross-validation for structure learning in Gaussian graphical models","created":"2023-12-28","cited_by_count":0,"area":null},{"id":"2402.07735","title":"Graph Structure Inference with BAM: Introducing the Bilinear Attention Mechanism","created":"2024-02-12","cited_by_count":0,"area":null},{"id":"2412.20289","title":"Causal Discovery on Dependent Binary Data","created":"2024-12-28","cited_by_count":0,"area":null},{"id":"2506.22848","title":"Scalable Structure Learning of Bayesian Networks by Learning Algorithm Ensembles","created":"2025-06-28","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}