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causal discovery

591 papers

CD

Papers

CausalVLBench: Benchmarking Visual Causal Reasoning in Large Vision-Language Models EMNLP 2025 CCG: Rare-Label Prediction via Neural SEM–Driven Causal Game EMNLP 2025 Constraint-based Causal Discovery from a Collection of Conditioning Sets UAI 2025 Constraint-based causal discovery with tiered background knowledge and latent variables in single or overlapping datasets CLeaR 2025 Continuous Structure Constraint Integration for Robust Causal Discovery AISTATS 2025 Cross-validating causal discovery via Leave-One-Variable-Out CLeaR 2025 DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025 Differentiable Causal Discovery for Latent Hierarchical Causal Models ICLR 2025 Directed Cyclic Graphs for Simultaneous Discovery of Time-Lagged and Instantaneous Causality from Longitudinal Data Using Instrumental Variables JMLR 2025 Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations ICLR 2025 Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags IJCAI 2025 Emergence-Inspired Multi-Granularity Causal Learning AAAI 2025 Expert-In-The-Loop Causal Discovery: Iterative Model Refinement Using Expert Knowledge UAI 2025 Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery ACL 2025 Extracting Rare Dependence Patterns via Adaptive Sample Reweighting ICML 2025 GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality AAAI 2025 Generalized Criterion for Identifiability of Additive Noise Models Using Majorization AISTATS 2025 Gradient-based Causal Feature Selection IJCAI 2025 Identifiability of Causal Graphs under Non-Additive Conditionally Parametric Causal Models JMLR 2025 Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning ICLR 2025 Identification of Intermittent Temporal Latent Process ICLR 2025 Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise IJCAI 2025 Information-Theoretic Causal Discovery in Topological Order AISTATS 2025 Integer Programming Based Methods and Heuristics for Causal Graph Learning AISTATS 2025 IRIS: An Iterative and Integrated Framework for Verifiable Causal Discovery in the Absence of Tabular Data ACL 2025