{"total":33,"rows":[{"id":"2202.13903","title":"Bayesian Structure Learning with Generative Flow Networks","created":"2022-02-28","cited_by_count":153,"area":null},{"id":"2202.02195","title":"Deep End-to-end Causal Inference","created":"2022-02-04","cited_by_count":95,"area":null},{"id":"2109.11415","title":"A survey of Bayesian Network structure learning","created":"2021-09-23","cited_by_count":87,"area":null},{"id":"2112.02761","title":"BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery","created":"2021-12-06","cited_by_count":68,"area":null},{"id":"2302.00615","title":"GFlowNets for AI-Driven Scientific Discovery","created":"2023-02-01","cited_by_count":63,"area":null},{"id":"2305.19366","title":"Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network","created":"2023-05-30","cited_by_count":50,"area":null},{"id":"2203.08509","title":"Differentiable DAG Sampling","created":"2022-03-16","cited_by_count":47,"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":"2204.14170","title":"Tractable Uncertainty for Structure Learning","created":"2022-04-29","cited_by_count":15,"area":null},{"id":"2310.02895","title":"CoLiDE: Concomitant Linear DAG Estimation","created":"2023-10-04","cited_by_count":13,"area":null},{"id":"2507.05526","title":"Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning","created":"2025-07-07","cited_by_count":13,"area":null},{"id":"2106.04416","title":"Context-Specific Causal Discovery for Categorical Data Using Staged Trees","created":"2021-06-08","cited_by_count":10,"area":null},{"id":"2107.01126","title":"Interactive Causal Structure Discovery in Earth System Sciences","created":"2021-07-01","cited_by_count":6,"area":null},{"id":"2402.14781","title":"Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive Orders","created":"2024-02-22","cited_by_count":6,"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":"2210.13583","title":"Learning Latent Structural Causal Models","created":"2022-10-24","cited_by_count":5,"area":null},{"id":"2205.02602","title":"The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions","created":"2022-05-05","cited_by_count":4,"area":null},{"id":"2306.11380","title":"A Bayesian Take on Gaussian Process Networks","created":"2023-06-20","cited_by_count":4,"area":null},{"id":"2405.15167","title":"ProDAG: Projected Variational Inference for Directed Acyclic Graphs","created":"2024-05-24","cited_by_count":4,"area":null},{"id":"2302.09731","title":"CMVAE: Causal Meta VAE for Unsupervised Meta-Learning","created":"2023-02-20","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":"2402.00623","title":"Bayesian Causal Inference with Gaussian Process Networks","created":"2024-02-01","cited_by_count":3,"area":null},{"id":"2110.14626","title":"Scalable Bayesian Network Structure Learning with Splines","created":"2021-10-27","cited_by_count":2,"area":null},{"id":"2112.09036","title":"The Dual PC Algorithm and the Role of Gaussianity for Structure Learning of Bayesian Networks","created":"2021-12-16","cited_by_count":2,"area":null},{"id":"2605.23537","title":"Concomitant DAG Learning: On the Roles of Noise Adaptivity, Sparsity, and Non-negativity","created":"2026-05-22","cited_by_count":2,"area":null},{"id":"2207.05723","title":"Latent Variable Models for Bayesian Causal Discovery","created":"2022-07-12","cited_by_count":1,"area":null},{"id":"2407.04992","title":"Scalable Variational Causal Discovery Unconstrained by Acyclicity","created":"2024-07-06","cited_by_count":1,"area":null},{"id":"2311.15610","title":"Bayesian Approach to Linear Bayesian Networks","created":"2023-11-27","cited_by_count":0,"area":null},{"id":"2510.25254","title":"Scaling Up Bayesian DAG Sampling","created":"2025-10-29","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":"2606.19264","title":"Structured Inference with Large Language Gibbs","created":"2026-06-17","cited_by_count":0,"area":null},{"id":"2607.09449","title":"How Does Bayesian Causal Discovery Fail? Characterising Structural Consequences in Linear Gaussian Networks under Latent Confounding","created":"2026-07-10","cited_by_count":0,"area":null},{"id":"2608.12640","title":"Interpretable Causal Discovery via Causal-Effect Constraints","created":"2026-08-12","cited_by_count":0,"area":null}],"next_cursor":null}