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

Vector Causal Inference between Two Groups of Variables AAAI 2023

Distributionally Robust Skeleton Learning of Discrete Bayesian Networks NIPS 2023

Causal Discovery in Semi-Stationary Time Series NIPS 2023

iSCAN: Identifying Causal Mechanism Shifts among Nonlinear Additive Noise Models NIPS 2023

Assumption violations in causal discovery and the robustness of score matching NIPS 2023

Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery NIPS 2023

Identification of Nonlinear Latent Hierarchical Models NIPS 2023

BaCaDI: Bayesian Causal Discovery with Unknown Interventions AISTATS 2023

Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing NIPS 2023

Learning Nonparametric Latent Causal Graphs with Unknown Interventions NIPS 2023

Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs UAI 2023

Do we become wiser with time? On causal equivalence with tiered background knowledge UAI 2023

Causal Discovery from Subsampled Time Series with Proxy Variables NIPS 2023

A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models JMLR 2023

Causal normalizing flows: from theory to practice NIPS 2023

Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization NIPS 2023

Meek Separators and Their Applications in Targeted Causal Discovery NIPS 2023

What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery CORL 2023

Structure Learning with Adaptive Random Neighborhood Informed MCMC NIPS 2023

On Learning Necessary and Sufficient Causal Graphs NIPS 2023

Causal Discovery with Unobserved Confounding and Non-Gaussian Data JMLR 2023

Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data NIPS 2023

Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees NIPS 2023

Python package for causal discovery based on LiNGAM JMLR 2023

Front-door Adjustment Beyond Markov Equivalence with Limited Graph Knowledge NIPS 2023