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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 181–190 of 1722 papers

Title	Date	Tasks	Status	Hype
General targeted machine learning for modern causal mediation analysis	Aug 26, 2024	Causal Inference	CodeCode Available	1
Granger causal inference on DAGs identifies genomic loci regulating transcription	Oct 18, 2022	Causal Inference	CodeCode Available	1
Inference and Denoise: Causal Inference-based Neural Speech Enhancement	Nov 2, 2022	Causal InferenceSpeech Enhancement	CodeCode Available	1
A Survey on Causal Inference for Recommendation	Mar 21, 2023	Causal Inferencecounterfactual	CodeCode Available	1
Instrumental Variables in Causal Inference and Machine Learning: A Survey	Dec 12, 2022	Causal InferenceSurvey	CodeCode Available	1
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities	Jan 30, 2023	Causal InferenceEarth Observation	CodeCode Available	1
C-XGBoost: A tree boosting model for causal effect estimation	Mar 31, 2024	Causal InferenceMissing Values	CodeCode Available	1
Discriminative and Consistent Representation Distillation	Jul 16, 2024	Causal InferenceContrastive Learning	CodeCode Available	1
Language Agents Meet Causality -- Bridging LLMs and Causal World Models	Oct 25, 2024	Causal InferenceCommon Sense Reasoning	CodeCode Available	1
Learning end-to-end patient representations through self-supervised covariate balancing for causal treatment effect estimation	Mar 20, 2023	Causal InferenceRepresentation Learning	CodeCode Available	1

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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