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

Nonlinear Causal Discovery with Latent Confounders ICML 2023

Causal Discovery with Latent Confounders Based on Higher-Order Cumulants ICML 2023

Differentiable and Transportable Structure Learning ICML 2023

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

A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models NIPS 2023

Reinforcement Causal Structure Learning on Order Graph AAAI 2023

Learning Relational Causal Models with Cycles through Relational Acyclification AAAI 2023

Nothing but Regrets — Privacy-Preserving Federated Causal Discovery AISTATS 2023

Differentially Private Nonlinear Causal Discovery from Numerical Data AAAI 2023

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

Sample Complexity of Distinguishing Cause from Effect AISTATS 2023

Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs UAI 2023

Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier AISTATS 2023

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

On Distance and Kernel Measures of Conditional Dependence JMLR 2023

DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets NIPS 2023

Learning Causal Models under Independent Changes NIPS 2023

Learning Nonparametric Latent Causal Graphs with Unknown Interventions NIPS 2023

Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance AAAI 2023

Distributionally Robust Skeleton Learning of Discrete Bayesian Networks NIPS 2023

Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments AAAI 2023

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

Causal normalizing flows: from theory to practice NIPS 2023

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

Causal Discovery in Semi-Stationary Time Series NIPS 2023