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causal structure learning

63 papers

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Also known as

CASTLE CSL

Co-occurring keywords

causal discovery (460) causal inference (1630) directed acyclic graph (245) graphical model (864) structure learning (341) markov equivalence class (37) conditional independence test (37) interventional datum (26) causal structure (88) conditional independence (113)

Papers

A Simple Unified Approach to Testing High-Dimensional Conditional Independences for Categorical and Ordinal Data AAAI 2023
Causal Structure Learning for Latent Intervened Non-stationary Data ICML 2023
Sampling and Counting Acyclic Orientations in Chordal Graphs (Student Abstract) AAAI 2022
A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data AAAI 2022
Causal Discovery in Linear Latent Variable Models Subject to Measurement Error NIPS 2022
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets AAAI 2022
Conditions and Assumptions for Constraint-based Causal Structure Learning JMLR 2022
Amortized Inference for Causal Structure Learning NIPS 2022
Discovery and density estimation of latent confounders in Bayesian networks with evidence lower bound PGM 2022
Recursive Causal Structure Learning in the Presence of Latent Variables and Selection Bias NIPS 2021
Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning NIPS 2021
Scalable Intervention Target Estimation in Linear Models NIPS 2021
Integer Programming for Causal Structure Learning in the Presence of Latent Variables ICML 2021
An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios IJCAI 2021
Low-Variance Black-Box Gradient Estimates for the Plackett-Luce Distribution AAAI 2020
algcomparison: Comparing the Performance of Graphical Structure Learning Algorithms with TETRAD JMLR 2020
Permutation-Based Causal Structure Learning with Unknown Intervention Targets UAI 2020
Evaluation of Causal Structure Learning Algorithms via Risk Estimation UAI 2020
Measurement Dependence Inducing Latent Causal Models UAI 2020
CASTLE: Regularization via Auxiliary Causal Graph Discovery NIPS 2020
MeDIL: A Python Package for Causal Modelling PGM 2020
The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks JMLR 2019
Learning the Structure of a Nonstationary Vector Autoregression AISTATS 2019
Constraint-based Causal Structure Learning with Consistent Separating Sets NIPS 2019
Computationally and statistically efficient learning of causal Bayes nets using path queries NIPS 2018