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interventional data

35 papers

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Co-occurring keywords · papers mentioning both

causal discovery (23) causal graph (7) causal structure learning (7) causal inference (6) directed acyclic graph (5) structure learning (5) markov equivalence class (4) graphical model (4) bayesian network (4) observational data (3)

Papers

Differentiable Causal Discovery from Interventional Data NeurIPS 2020 Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020 Permutation-Based Causal Structure Learning with Unknown Intervention Targets UAI 2020 ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019 Size of Interventional Markov Equivalence Classes in random DAG models AISTATS 2019 Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions ICML 2018 Computationally and statistically efficient learning of causal Bayes nets using path queries NeurIPS 2018 Permutation-based Causal Inference Algorithms with Interventions NeurIPS 2017 Learning Acyclic Directed Mixed Graphs from Observations and Interventions PGM 2016 Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data JMLR 2009