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causal discovery

459 papers

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Also known as

CD

Co-occurring keywords

causal inference (1619) graphical model (863) directed acyclic graph (242) causal graph (137) structure learning (341) causal structure (87) structural equation model (77) latent variable (541) causal structure learning (63) time series (434)

Papers

Constraint-based Causal Structure Learning with Consistent Separating Sets NIPS 2019
ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery AISTATS 2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs UAI 2019
Towards Robust Relational Causal Discovery UAI 2019
Selecting causal brain features with a single conditional independence test per feature NIPS 2019
Triad Constraints for Learning Causal Structure of Latent Variables NIPS 2019
Size of Interventional Markov Equivalence Classes in random DAG models AISTATS 2019
Causal Discovery in the Presence of Missing Data AISTATS 2019
Testing Conditional Independence on Discrete Data using Stochastic Complexity AISTATS 2019
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models ICML 2019
Using Domain Knowledge to Overcome Latent Variables in Causal Inference from Time Series MLHC 2019
Causal Discovery with General Non-Linear Relationships using Non-Linear ICA UAI 2019
High-Dimensional Poisson Structural Equation Model Learning via $\ell_1$-Regularized Regression JMLR 2019
Identifying Causal Effects via Context-specific Independence Relations NIPS 2019
An Algorithm to Learn Polytree Networks with Hidden Nodes NIPS 2019
Conditional Independence Testing using Generative Adversarial Networks NIPS 2019
Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models ICML 2018
Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions ICML 2018
Fast Estimation of Causal Interactions using Wold Processes NIPS 2018
Computationally and statistically efficient learning of causal Bayes nets using path queries NIPS 2018
Group Invariance Principles for Causal Generative Models AISTATS 2018
Cause-Effect Inference by Comparing Regression Errors AISTATS 2018
Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information AISTATS 2018
Markov Blanket and Markov Boundary of Multiple Variables JMLR 2018
Structure Learning Under Missing Data PGM 2018