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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 801–810 of 1722 papers

Title	Date	Tasks	Status	Hype
Robust detection and attribution of climate change under interventions	Dec 9, 2022	Causal InferenceChange Detection	CodeCode Available	0
CausalEGM: a general causal inference framework by encoding generative modeling	Dec 8, 2022	Causal InferenceDecoder	CodeCode Available	1
On Root Cause Localization and Anomaly Mitigation through Causal Inference	Dec 8, 2022	Anomaly DetectionCausal Inference	CodeCode Available	1
Neighborhood Adaptive Estimators for Causal Inference under Network Interference	Dec 7, 2022	Causal InferenceFeature Engineering	—Unverified	0
Causal Inference via Style Transfer for Out-of-distribution Generalisation	Dec 6, 2022	Causal InferenceImage Classification	CodeCode Available	1
Short-term shock, long-lasting payment: Evidence from the Lushan Earthquake	Dec 3, 2022	Causal Inference	—Unverified	0
Logic and Commonsense-Guided Temporal Knowledge Graph Completion	Nov 30, 2022	Causal InferenceKnowledge Graph Completion	CodeCode Available	0
Evaluating Digital Agriculture Recommendations with Causal Inference	Nov 30, 2022	Causal Inference	—Unverified	0
Causal Inference with Conditional Instruments using Deep Generative Models	Nov 29, 2022	Causal Inference	—Unverified	0
Causal Deep Reinforcement Learning Using Observational Data	Nov 28, 2022	Autonomous DrivingCausal 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