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 1476–1500 of 1722 papers

Title	Date	Tasks	Status
Optimal transport weights for causal inference	Sep 5, 2021	Causal Inference	CodeCode Available
Optimising Individual-Treatment-Effect Using Bandits	Oct 16, 2019	Causal InferenceMarketing	CodeCode Available
Assessing External Validity Over Worst-case Subpopulations	Jul 5, 2020	Causal Inferencevalid	CodeCode Available
On the power of conditional independence testing under model-X	May 12, 2020	Causal InferenceLEMMA	CodeCode Available
Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication	Oct 4, 2021	Causal Inference	CodeCode Available
Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data	Apr 17, 2017	Causal Inference	CodeCode Available
Combining Interventional and Observational Data Using Causal Reductions	Mar 8, 2021	Causal Inference	CodeCode Available
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation	Jun 21, 2023	Causal InferenceRepresentation Learning	CodeCode Available
Robust detection and attribution of climate change under interventions	Dec 9, 2022	Causal InferenceChange Detection	CodeCode Available
Using representation balancing to learn conditional-average dose responses from clustered data	Sep 7, 2023	BenchmarkingCausal Inference	CodeCode Available
Targeting customers under response-dependent costs	Mar 13, 2020	Causal InferenceMarketing	CodeCode Available
Causal affect prediction model using a facial image sequence	Jul 8, 2021	Causal InferenceFacial Expression Recognition	CodeCode Available
CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual Inference	Jan 27, 2025	Causal Inferencecounterfactual	CodeCode Available
Causal Expectation-Maximisation	Nov 4, 2020	Causal Inferencecounterfactual	CodeCode Available
Can We Validate Counterfactual Estimations in the Presence of General Network Interference?	Feb 3, 2025	Causal Inferencecounterfactual	CodeCode Available
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise	Jun 4, 2018	Causal InferenceEEG	CodeCode Available
Whittemore: An embedded domain specific language for causal programming	Dec 21, 2018	Causal Inference	CodeCode Available
Causal Estimation of Exposure Shifts with Neural Networks	Feb 6, 2023	Causal Inference	CodeCode Available
Learning high-dimensional causal effect	Mar 1, 2023	Causal InferenceVocal Bursts Intensity Prediction	CodeCode Available
Toward Informed AV Decision-Making: Computational Model of Well-being and Trust in Mobility	May 21, 2025	Causal InferenceDecision Making	CodeCode Available
Can Transformers Do Enumerative Geometry?	Aug 27, 2024	Activation Function SynthesisCausal Inference	CodeCode Available
Learning Individual Causal Effects from Networked Observational Data	Jun 8, 2019	Causal Inference	CodeCode Available
Orthogonal Machine Learning: Power and Limitations	Nov 1, 2017	2kBIG-bench Machine Learning	CodeCode Available
ROS-Causal: A ROS-based Causal Analysis Framework for Human-Robot Interaction Applications	Feb 25, 2024	Causal DiscoveryCausal Inference	CodeCode Available
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach	Oct 3, 2021	Causal Inferencecounterfactual	CodeCode Available

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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