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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 71–80 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
CausalEGM: a general causal inference framework by encoding generative modeling	Dec 8, 2022	Causal InferenceDecoder	CodeCode Available	1	5
Causal Incremental Graph Convolution for Recommender System Retraining	Aug 16, 2021	Causal InferenceRecommendation Systems	CodeCode Available	1	5
Causal Inference for Chatting Handoff	Oct 6, 2022	Causal InferenceChatbot	CodeCode Available	1	5
Causal Inference for Qualitative Outcomes	Feb 17, 2025	Causal Inference	CodeCode Available	1	5
An Influence-based Approach for Root Cause Alarm Discovery in Telecom Networks	May 7, 2021	Causal InferenceFault localization	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
Training a Resilient Q-Network against Observational Interference	Feb 18, 2021	Causal InferenceDeep Reinforcement Learning	CodeCode Available	1	5
Adversarial Counterfactual Learning and Evaluation for Recommender System	Nov 8, 2020	Causal Inferencecounterfactual	CodeCode Available	1	5
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling	Nov 19, 2021	Causal InferencePrediction	CodeCode Available	1	5
A Graph Neural Network Framework for Causal Inference in Brain Networks	Oct 14, 2020	Causal InferenceGraph Neural Network	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