{"total":32,"rows":[{"id":"2302.00615","title":"GFlowNets for AI-Driven Scientific Discovery","created":"2023-02-01","cited_by_count":63,"area":null},{"id":"2209.04744","title":"Active Learning for Optimal Intervention Design in Causal Models","created":"2022-09-10","cited_by_count":31,"area":null},{"id":"2211.02763","title":"Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes","created":"2022-11-04","cited_by_count":30,"area":null},{"id":"2412.16577","title":"A Meta-Learning Approach to Bayesian Causal Discovery","created":"2024-12-21","cited_by_count":22,"area":null},{"id":"2302.10607","title":"Differentiable Multi-Target Causal Bayesian Experimental Design","created":"2023-02-21","cited_by_count":15,"area":null},{"id":"2208.10981","title":"Causal Entropy Optimization","created":"2022-08-23","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":"2406.13371","title":"Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment","created":"2024-06-19","cited_by_count":12,"area":null},{"id":"2302.08070","title":"Local Causal Discovery for Estimating Causal Effects","created":"2023-02-16","cited_by_count":10,"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":"2210.13583","title":"Learning Latent Structural Causal Models","created":"2022-10-24","cited_by_count":5,"area":null},{"id":"2405.11548","title":"Adaptive Online Experimental Design for Causal Discovery","created":"2024-05-19","cited_by_count":5,"area":null},{"id":"2406.03209","title":"Challenges and Considerations in the Evaluation of Bayesian Causal Discovery","created":"2024-06-05","cited_by_count":5,"area":null},{"id":"2411.04054","title":"Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits","created":"2024-11-06","cited_by_count":5,"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":"2408.03425","title":"Sequential Conditional Transport on Probabilistic Graphs for Interpretable Counterfactual Fairness","created":"2024-08-06","cited_by_count":4,"area":null},{"id":"2410.20089","title":"Sample Efficient Bayesian Learning of Causal Graphs from Interventions","created":"2024-10-26","cited_by_count":4,"area":null},{"id":"2411.14003","title":"Generative Intervention Models for Causal Perturbation Modeling","created":"2024-11-21","cited_by_count":4,"area":null},{"id":"2409.07215","title":"Is merging worth it? Securely evaluating the information gain for causal dataset acquisition","created":"2024-09-11","cited_by_count":2,"area":null},{"id":"2507.07359","title":"Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning","created":"2025-07-10","cited_by_count":2,"area":null},{"id":"2509.21866","title":"Causal-EPIG: A Prediction-Oriented Active Learning Framework for CATE Estimation","created":"2025-09-26","cited_by_count":2,"area":null},{"id":"2510.06735","title":"Incorporating Expert Knowledge into Bayesian Causal Discovery of Mixtures of Directed Acyclic Graphs","created":"2025-10-08","cited_by_count":2,"area":null},{"id":"2411.03028","title":"Graph Agnostic Causal Bayesian Optimisation","created":"2024-11-05","cited_by_count":1,"area":null},{"id":"2501.14997","title":"Causal Discovery via Bayesian Optimization","created":"2025-01-25","cited_by_count":1,"area":null},{"id":"2509.24293","title":"ActiveCQ: Active Estimation of Causal Quantities","created":"2025-09-29","cited_by_count":1,"area":null},{"id":"2603.03785","title":"Observationally Informed Adaptive Causal Experimental Design","created":"2026-03-04","cited_by_count":1,"area":null},{"id":"2509.02130","title":"Online Identification of IT Systems through Active Causal Learning","created":"2025-09-02","cited_by_count":0,"area":null},{"id":"2510.01562","title":"Large-Scale Bayesian Causal Discovery with Interventional Data","created":"2025-10-02","cited_by_count":0,"area":null},{"id":"2602.01483","title":"Causal Preference Elicitation","created":"2026-02-01","cited_by_count":0,"area":null},{"id":"2606.06288","title":"Discrete Causal Representations from Heterogeneous Domains: A Bayesian Approach with Social Survey Applications","created":"2026-06-04","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},{"id":"2609.32165","title":"FOCUS: Fixed-Confidence Online Causal Learning Using Sequential Adaptive Interventions","created":"2026-09-26","cited_by_count":0,"area":null}],"next_cursor":null}