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causal structure

88 papers

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Co-occurring keywords

causal discovery (460) causal inference (1630) graphical model (864) structure learning (341) directed acyclic graph (245) conditional independence (113) latent variable (541) markov equivalence (33) markov equivalence class (37) causal structure learning (63)

Papers

Guidelines as Environments: A World Model Approach to Rule Following ACL 2026
Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants AAAI 2026
Causal Discovery by Interventions via Integer Programming AAAI 2025
How Likely Do LLMs with CoT Mimic Human Reasoning? COLING 2025
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise IJCAI 2025
Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework AAAI 2025
Causal Composition Diffusion Model for Closed-loop Traffic Generation CVPR 2025
Emergence-Inspired Multi-Granularity Causal Learning AAAI 2025
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs AAAI 2025
CoT-ICL Lab: A Synthetic Framework for Studying Chain-of-Thought Learning from In-Context Demonstrations ACL 2025
On the Parameter Identifiability of Partially Observed Linear Causal Models NIPS 2024
Learning Structural Causal Models through Deep Generative Models: Methods, Guarantees, and Challenges IJCAI 2024
DoWhy-GCM: An Extension of DoWhy for Causal Inference in Graphical Causal Models JMLR 2024
Dual Likelihood for Causal Inference under Structure Uncertainty CLEAR 2024
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants AAAI 2024
Extracting the Multiscale Causal Backbone of Brain Dynamics CLEAR 2024
DAGnosis: Localized Identification of Data Inconsistencies using Structures AISTATS 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model AAAI 2024
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables JMLR 2024
Interventional Causal Discovery in a Mixture of DAGs NIPS 2024
Polynomial-Time Algorithms for Counting and Sampling Markov Equivalent DAGs with Applications JMLR 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences IJCAI 2023
Identification of Nonlinear Latent Hierarchical Models NIPS 2023
Causal Interpretation of Self-Attention in Pre-Trained Transformers NIPS 2023
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants ICML 2023