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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