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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 861–870 of 1722 papers

Title	Date	Tasks	Status	Hype
Size of Interventional Markov Equivalence Classes in Random DAG Models	Mar 5, 2019	Causal InferenceExperimental Design	—Unverified	0
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang	Oct 16, 2021	Causal DiscoveryCausal Inference	—Unverified	0
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening	Oct 2, 2024	Causal Inference	—Unverified	0
Smiles in Profiles: Improving Efficiency While Reducing Disparities in Online Marketplaces	Sep 2, 2022	Causal Inferencecounterfactual	—Unverified	0
Some Reflections on Drawing Causal Inference using Textual Data: Parallels Between Human Subjects and Organized Texts	Feb 2, 2022	Causal Inference	—Unverified	0
Sparse Nested Markov models with Log-linear Parameters	Sep 26, 2013	Causal Inference	—Unverified	0
Spectral Representation Learning for Conditional Moment Models	Oct 29, 2022	Causal InferenceRepresentation Learning	—Unverified	0
Spillover Detection for Donor Selection in Synthetic Control Models	Jun 17, 2024	Causal Inferencevalid	—Unverified	0
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions	Nov 11, 2020	Causal InferenceMarketing	—Unverified	0
SPORTSCausal: Spill-Over Time Series Causal Inference	Aug 21, 2024	Causal InferenceSociology	—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