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

Filter, Rank, and Prune: Learning Linear Cyclic Gaussian Graphical Models AISTATS 2024

Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes AISTATS 2024

Causal Discovery under Off-Target Interventions AISTATS 2024

Markov Equivalence and Consistency in Differentiable Structure Learning NIPS 2024

Local Causal Discovery with Linear non-Gaussian Cyclic Models AISTATS 2024

CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction NIPS 2024

Identifying Confounding from Causal Mechanism Shifts AISTATS 2024

Causal discovery in a complex industrial system: A time series benchmark CLEAR 2024

Causal Discovery with Generalized Linear Models through Peeling Algorithms JMLR 2024

Bicycle: Intervention-Based Causal Discovery with Cycles CLEAR 2024

Learning Mixtures of Unknown Causal Interventions NIPS 2024

Revisiting Causal Discovery from a Complexity-Theoretic Perspective IJCAI 2024

Identifying General Mechanism Shifts in Linear Causal Representations NIPS 2024

Context-Specific Causal Discovery for Categorical Data Using Staged Trees AISTATS 2023

Characterization and Learning of Causal Graphs with Small Conditioning Sets NIPS 2023

Rank-Based Causal Discovery for Post-Nonlinear Models AISTATS 2023

NODAGS-Flow: Nonlinear Cyclic Causal Structure Learning AISTATS 2023

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

Model-based Causal Discovery for Zero-Inflated Count Data JMLR 2023

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

Distinguishing Cause and Effect in Bivariate Structural Causal Models: A Systematic Investigation JMLR 2023

Counting Background Knowledge Consistent Markov Equivalent Directed Acyclic Graphs UAI 2023

A New Causal Decomposition Paradigm towards Health Equity AISTATS 2023

Subset verification and search algorithms for causal DAGs AISTATS 2023

Causal normalizing flows: from theory to practice NIPS 2023