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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 311–320 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Counterfactual Mean Embeddings	May 22, 2018	Causal Inferencecounterfactual	CodeCode Available	0	5
Argumentative Causal Discovery	May 18, 2024	Causal DiscoveryCausal Inference	CodeCode Available	0	5
Counterfactual Prediction Under Selective Confounding	Oct 21, 2023	AllCausal Inference	CodeCode Available	0	5
Generalized Random Forests using Fixed-Point Trees	Jun 20, 2023	Causal InferenceComputational Efficiency	CodeCode Available	0	5
Counterfactually Comparing Abstaining Classifiers	May 17, 2023	Causal Inferencecounterfactual	CodeCode Available	0	5
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training	Apr 9, 2024	Causal Inferencecounterfactual	CodeCode Available	0	5
ABC3: Active Bayesian Causal Inference with Cohn Criteria in Randomized Experiments	Dec 15, 2024	Active LearningCausal Inference	CodeCode Available	0	5
Adversarial Generalized Method of Moments	Mar 19, 2018	Causal InferenceClustering	CodeCode Available	0	5
Counterfactual Fairness	Mar 20, 2017	BIG-bench Machine LearningCausal Inference	CodeCode Available	0	5
Causal Discovery using Compression-Complexity Measures	Oct 19, 2020	Causal DiscoveryCausal Inference	CodeCode Available	0	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