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 451–475 of 1722 papers

Title	Date	Tasks	Status	Score
An adaptive denoising recommendation algorithm for causal separation bias	Nov 15, 2023	Causal InferenceDenoising	CodeCode Available	5
Neuroevolutionary representations for learning heterogeneous treatment effects	May 25, 2023	Causal Inference	CodeCode Available	5
Bayesian Causal Inference with Gaussian Process Networks	Feb 1, 2024	Causal DiscoveryCausal Inference	CodeCode Available	5
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models	Oct 7, 2022	Causal InferenceMachine Translation	CodeCode Available	5
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference	Jun 2, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available	5
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's Continuum	Jun 23, 2020	Causal InferenceClinical Knowledge	CodeCode Available	5
Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component Analysis	Aug 17, 2024	Causal Inferencecounterfactual	CodeCode Available	5
On Adaptive Propensity Score Truncation in Causal Inference	Jul 18, 2017	Causal Inference	CodeCode Available	5
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects	Jan 1, 2023	Causal InferenceFederated Learning	CodeCode Available	5
On the Identifiability and Estimation of Causal Location-Scale Noise Models	Oct 13, 2022	Causal DiscoveryCausal Inference	CodeCode Available	5
Counterfactual Fairness	Mar 20, 2017	BIG-bench Machine LearningCausal Inference	CodeCode Available	5
On the Role of Surrogates in Conformal Inference of Individual Causal Effects	Dec 16, 2024	Causal InferenceConformal Prediction	CodeCode Available	5
DAG-aware Transformer for Causal Effect Estimation	Oct 13, 2024	Causal Inference	CodeCode Available	5
Diffusion Model in Causal Inference with Unmeasured Confounders	Aug 7, 2023	Causal Inferencecounterfactual	CodeCode Available	5
Bayesian Topic Regression for Causal Inference	Sep 11, 2021	Causal Inferenceregression	CodeCode Available	5
Orthogonal Machine Learning: Power and Limitations	Nov 1, 2017	2kBIG-bench Machine Learning	CodeCode Available	5
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic Environments	Apr 16, 2025	BenchmarkingCausal Inference	CodeCode Available	5
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid	Sep 27, 2021	Causal InferenceDesign Synthesis	CodeCode Available	5
Causality for Machine Learning	Nov 24, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available	5
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference	Apr 30, 2024	Causal InferenceRecommendation Systems	CodeCode Available	5
Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeast	Oct 14, 2020	Causal Inference	CodeCode Available	5
Combinatorial Causal Bandits	Jun 4, 2022	Causal Inference	CodeCode Available	5
Compositional Probabilistic and Causal Inference using Tractable Circuit Models	Apr 17, 2023	Causal Inference	CodeCode Available	5
Practical Performative Policy Learning with Strategic Agents	Dec 2, 2024	Causal Inference	CodeCode Available	5
Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand	Feb 12, 2024	Causal InferenceDisentanglement	CodeCode Available	5

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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