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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 1551–1560 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond	Mar 29, 2018	Causal InferenceTopic Models	—Unverified	0	0
Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations	Jan 27, 2015	Causal InferenceProbabilistic Programming	—Unverified	0	0
Conceptualizing Treatment Leakage in Text-based Causal Inference	Jan 16, 2022	Causal Inference	—Unverified	0	0
Conceptualizing Treatment Leakage in Text-based Causal Inference	May 1, 2022	Causal Inference	—Unverified	0	0
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference	Oct 3, 2023	Causal Inferenceregression	—Unverified	0	0
Conformal Counterfactual Inference under Hidden Confounding	May 20, 2024	Causal InferenceConformal Prediction	—Unverified	0	0
Confounder Analysis in Measuring Representation in Product Funnels	Jun 7, 2022	Causal Inference	—Unverified	0	0
Confounding-Robust Policy Improvement	May 22, 2018	Causal Inference	—Unverified	0	0
Confounding-Robust Policy Improvement with Human-AI Teams	Oct 13, 2023	Causal InferenceSensitivity	—Unverified	0	0
Confronting Machine Learning With Financial Research	Feb 28, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0	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