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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

Active Invariant Causal Prediction: Experiment Selection through Stability NIPS 2020
On the Role of Sparsity and DAG Constraints for Learning Linear DAGs NIPS 2020
Causal Discovery in Physical Systems from Videos NIPS 2020
Causal Discovery from Soft Interventions with Unknown Targets: Characterization and Learning NIPS 2020
High-recall causal discovery for autocorrelated time series with latent confounders NIPS 2020
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs NIPS 2020
Statistically Efficient Greedy Equivalence Search UAI 2020
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects UAI 2020
Causal screening in dynamical systems UAI 2020
Tuning Causal Discovery Algorithms PGM 2020
Permutation-Based Causal Structure Learning with Unknown Intervention Targets UAI 2020
Learning Causal Networks via Additive Faithfulness JMLR 2020
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models AAAI 2020
Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets AAAI 2020
Integrating Overlapping Datasets Using Bivariate Causal Discovery AAAI 2020
Discovering cause-effect relationships in spatial systems with a known direction based on observational data PGM 2020
Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020
Knowledge Transfer for Learning Markov Equivalence Classes PGM 2020
Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets UAI 2020
Order-Dependent Event Models for Agent Interactions IJCAI 2020
Bridging Causality and Learning: How Do They Benefit from Each Other? IJCAI 2020
Cause-Effect Association between Event Pairs in Event Datasets IJCAI 2020
Sparse and Low-bias Estimation of High Dimensional Vector Autoregressive Models L4DC 2020
Evaluation of Causal Structure Learning Algorithms via Risk Estimation UAI 2020
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles UAI 2020