Causal Inference
3,958 papers
Papers per year
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15
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62
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Papers
Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation
AAAI 2026
Temporal Properties of Conditional Independence in Dynamic Bayesian Networks
AAAI 2026
Testing Partially-Identifiable Causal Queries Using Ternary Tests
UAI 2026
The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation
AAAI 2026
The Fixed-Point of Distrust: A Formal Theory of Perceived Systemic Incompetence
AAAI 2026
The Future Is Neuro-Symbolic: Where Has It Been, and Where Is It Going?
AAAI 2026
The Generalised Kernel Covariance Measure
CLeaR 2026
The Minimal Search Space for Conditional Causal Bandits
UAI 2026
The Price of Valid Inference After Causal Discovery
UAI 2026
The Proxy Presumption: From Semantic Embeddings to Valid Social Measures
ACL 2026
The relative value of interventional and observational samples in Bayesian Causal Linear Gaussian Models
UAI 2026
Thesis Proposal: Stability-Aware, Evidence-Grounded Knowledge Graph for Substance Use Disorders and Social Determinants of Health
EACL 2026
TMAE:Learning Targeted Multi-Agent Exploration via Causal Inference
AAAI 2026
Topo-GraT: Learning to Grow with Causal Graph Transformers (Student Abstract)
AAAI 2026
Toward Causal Foundation World Models: From Representation to Decision-Making
AAAI 2026
Towards a Common Framework for Autoformalization
AAAI 2026
Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning
AAAI 2026
Towards Ultrasound-based Reliable Disease Diagnosis Using Causal Inference
AAAI 2026
Toward Trustworthy AI for Decision Making in Population Health
AAAI 2026
Tracking Autism Stigma in Italian Newspapers: A Longitudinal Analysis of Media Discourse (2016–2025)
EACL 2026
Tracking the Limits of Knowledge Propagation: How LLMs Fail at Multi-Step Reasoning with Conflicting Knowledge
EACL 2026
Transferable Graph Condensation from the Causal Perspective
AAAI 2026
Truth-Tracking Evaluation in Opinion-Based Argumentation
AAAI 2026
Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
AAAI 2026
Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification
EACL 2026