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 176–200 of 1722 papers

Title	Date	Tasks	Status	Hype
Automatic Detection of Influential Actors in Disinformation Networks	May 21, 2020	Causal Inference	CodeCode Available	1
Causal Modeling of Twitter Activity During COVID-19	May 16, 2020	Causal InferenceDescriptive	CodeCode Available	1
Multivariate Time Series Forecasting with Transfer Entropy Graph	May 3, 2020	Causal InferenceDecision Making	CodeCode Available	1
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches	Apr 15, 2020	Bayesian InferenceCausal Inference	CodeCode Available	1
Invariant Causal Prediction for Block MDPs	Mar 12, 2020	Causal InferencePrediction	CodeCode Available	1
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding	Mar 3, 2020	Causal InferenceSensitivity	CodeCode Available	1
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis	Feb 1, 2020	Causal InferenceDynamic Time Warping	CodeCode Available	1
Variable-lag Granger Causality for Time Series Analysis	Dec 18, 2019	Causal InferenceLeadership Inference	CodeCode Available	1
Masked Gradient-Based Causal Structure Learning	Oct 18, 2019	Causal DiscoveryCausal Inference	CodeCode Available	1
Estimating Transfer Entropy via Copula Entropy	Oct 10, 2019	Causal DiscoveryCausal Inference	CodeCode Available	1
Adapting Text Embeddings for Causal Inference	May 29, 2019	Causal IdentificationCausal Inference	CodeCode Available	1
Using Embeddings to Correct for Unobserved Confounding in Networks	Feb 11, 2019	Causal Inferencevalid	CodeCode Available	1
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias	May 5, 2018	Causal DiscoveryCausal Inference	CodeCode Available	1
Causal Effect Inference with Deep Latent-Variable Models	May 24, 2017	Causal Inference	CodeCode Available	1
Double/Debiased Machine Learning for Treatment and Causal Parameters	Jul 30, 2016	BIG-bench Machine LearningCausal Inference	CodeCode Available	1
Estimating individual treatment effect: generalization bounds and algorithms	Jun 13, 2016	Causal InferenceGeneralization Bounds	CodeCode Available	1
Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning	Jul 7, 2025	Bayesian InferenceCausal Inference	—Unverified	0
Quantum Neural Networks for Propensity Score Estimation and Survival Analysis in Observational Biomedical Studies	Jun 24, 2025	Causal InferenceSelection bias	—Unverified	0
Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction	Jun 24, 2025	Causal InferenceCPU	—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

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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

#	Model	Metric	Claimed	Verified	Status
1	CFR WASS	Average Treatment Effect on the Treated Error	0.09	—	Unverified
2	CFR MMD	Average Treatment Effect on the Treated Error	0.08	—	Unverified
3	BART	Average Treatment Effect on the Treated Error	0.08	—	Unverified
4	GANITE	Average Treatment Effect on the Treated Error	0.06	—	Unverified
5	BCAUSS	Average Treatment Effect on the Treated Error	0.05	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BART	Average Treatment Effect Error	0.34	—	Unverified
2	OLS with separate regressors for each treatment	Average Treatment Effect Error	0.31	—	Unverified
3		Average Treatment Effect Error	-0.23	—	Unverified