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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

Boosting Causal Additive Models JMLR 2025
CCG: Rare-Label Prediction via Neural SEM–Driven Causal Game EMNLP 2025
Recursive Causal Discovery JMLR 2025
On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference JMLR 2025
CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models EMNLP 2025
Local Causal Discovery Without Causal Sufficiency AAAI 2025
IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data ACL 2025
Large Language Models for Causal Discovery: Current Landscape and Future Directions IJCAI 2025
Causal Explanation of Quality of Parent-Child Interactions with Multimodal Behavioral Features (Student Abstract) AAAI 2025
DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025
Causal-LLM: A Unified One-Shot Framework for Prompt- and Data-Driven Causal Graph Discovery EMNLP 2025
Causal Discovery by Interventions via Integer Programming AAAI 2025
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery ACL 2025
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise IJCAI 2025
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags IJCAI 2025
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025
Learning causal graphs via nonlinear sufficient dimension reduction JMLR 2025
A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspective IJCAI 2025
Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models JMLR 2025
SPACETIME: Causal Discovery from Non-Stationary Time Series AAAI 2025
Causal Inference with Large Language Model: A Survey NAACL 2025
Gradient-based Causal Feature Selection IJCAI 2025
No Black Boxes: Interpretable and Interactable Predictive Healthcare with Knowledge-Enhanced Agentic Causal Discovery EMNLP 2025
Causal Discovery with Generalized Linear Models through Peeling Algorithms JMLR 2024
Sample Efficient Bayesian Learning of Causal Graphs from Interventions NIPS 2024