causal discovery

459 papers

Explore in graph

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

Discovering Linear Non-Gaussian Models for All Categories of Missing Data (Student Abstract) AAAI 2026

POLICYGRID: Causal Discovery for Adaptive Policy Optimization in Embodied Agents (Student Abstract) AAAI 2026

Sparse Additive Model Pruning for Order-Based Causal Structure Learning AAAI 2026

Eliciting Causal Knowledge from Agents AAAI 2026

I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables AAAI 2026

Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis AAAI 2026

CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge AAAI 2026

TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting AAAI 2026

Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants AAAI 2026

CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing AAAI 2026

OrcheCause Agent: From Textual Knowledge to End-to-End Causal Inference AAAI 2026

CausalPulse: Agentic Copilot for Root Cause Analysis in Smart Manufacturing AAAI 2026

Causal Discovery from Interval-Based Event Sequences AAAI 2026

Recursive Causal Discovery (Abstract Reprint) AAAI 2026

Robust Causal Discovery Under Imperfect Structural Constraints AAAI 2026

REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks AAAI 2026

Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach AAAI 2026

Large Language Models for Causal Discovery: Current Landscape and Future Directions IJCAI 2025

Boosting Causal Additive Models JMLR 2025

DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025

A Logic-Based Approach to Causal Discovery: Signal Temporal Logic Perspective IJCAI 2025

Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags IJCAI 2025

Causal Inference with Large Language Model: A Survey NAACL 2025

Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise IJCAI 2025

Gradient-based Causal Feature Selection IJCAI 2025