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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 171–180 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Discriminative and Consistent Representation Distillation	Jul 16, 2024	Causal InferenceContrastive Learning	CodeCode Available	1	5
Invariant Representation Learning for Treatment Effect Estimation	Nov 24, 2020	Causal IdentificationCausal Inference	CodeCode Available	1	5
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization	Jan 3, 2023	Causal InferenceRecommendation Systems	CodeCode Available	1	5
Causal Inference in Recommender Systems: A Survey and Future Directions	Aug 26, 2022	Causal InferenceClick-Through Rate Prediction	CodeCode Available	1	5
Counterfactual VQA: A Cause-Effect Look at Language Bias	Jun 8, 2020	Causal Inferencecounterfactual	CodeCode Available	1	5
Double Machine Learning for Static Panel Models with Fixed Effects	Dec 13, 2023	Causal InferenceEnsemble Learning	CodeCode Available	1	5
A Structural Causal Model for MR Images of Multiple Sclerosis	Mar 4, 2021	Causal Inferencecounterfactual	CodeCode Available	1	5
Learning Individually Inferred Communication for Multi-Agent Cooperation	Jun 11, 2020	Causal InferenceMulti-agent Reinforcement Learning	CodeCode Available	1	5
A Survey of Deep Causal Models and Their Industrial Applications	Sep 19, 2022	Causal Inferencecounterfactual	CodeCode Available	1	5
Granger causal inference on DAGs identifies genomic loci regulating transcription	Oct 18, 2022	Causal Inference	CodeCode Available	1	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