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Causal Inference

Causal inference is the task of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect.

( Image credit: Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1–10 of 1722 papers

Title	Date	Tasks	Status	Hype
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning	Jul 7, 2025	Bayesian InferenceCausal Inference	—Unverified	0
Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction	Jun 24, 2025	Causal InferenceCPU	—Unverified	0
Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies	Jun 24, 2025	Causal InferenceSelection bias	—Unverified	0
Bayesian Evolutionary Swarm Architecture: A Formal Epistemic System Grounded in Truth-Based Competition	Jun 23, 2025	Bayesian InferenceCausal Inference	—Unverified	0
T-CPDL: A Temporal Causal Probabilistic Description Logic for Developing Logic-RAG Agent	Jun 23, 2025	Causal InferenceDecision Making	—Unverified	0
Causal Interventions in Bond Multi-Dealer-to-Client Platforms	Jun 22, 2025	Causal Inference	—Unverified	0
An Empirical Comparison of Weak-IV-Robust Procedures in Just-Identified Models	Jun 22, 2025	Causal Inference	—Unverified	0
International Trade and Intellectual Property	Jun 21, 2025	Causal Inference	—Unverified	0
From Prompts to Constructs: A Dual-Validity Framework for LLM Research in Psychology	Jun 20, 2025	Causal Inference	—Unverified	0
Learning Causally Predictable Outcomes from Psychiatric Longitudinal Data	Jun 19, 2025	Causal Inference	CodeCode Available	0

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All datasets IHDP Jobs IDHP

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Random Forest	Average Treatment Effect Error	0.96	—	Unverified
2	Balancing Linear Regression	Average Treatment Effect Error	0.93	—	Unverified
3	k-NN	Average Treatment Effect Error	0.79	—	Unverified
4	CEVAE	Average Treatment Effect Error	0.46	—	Unverified
5	Balancing Neural Network	Average Treatment Effect Error	0.42	—	Unverified
6	Causal Forest	Average Treatment Effect Error	0.4	—	Unverified
7	BCAUS DR	Average Treatment Effect Error	0.29	—	Unverified
8	TARNet	Average Treatment Effect Error	0.28	—	Unverified
9	Counterfactual Regression + WASS	Average Treatment Effect Error	0.27	—	Unverified
10	MTDL-KNN	Average Treatment Effect Error	0.23	—	Unverified