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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 681–690 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Predictive Coding beyond Correlations	Jun 27, 2023	Bayesian InferenceCausal Discovery	—Unverified	0	0
Causal Inference via Nonlinear Variable Decorrelation for Healthcare Applications	Sep 29, 2022	Causal Inferenceparameter estimation	—Unverified	0	0
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection	Sep 15, 2022	Causal Inference	—Unverified	0	0
Causal Inference via Kernel Deviance Measures	Apr 12, 2018	Causal DiscoveryCausal Inference	—Unverified	0	0
Causal Inference via Conditional Kolmogorov Complexity using MDL Binning	Oct 31, 2019	Causal Inference	—Unverified	0	0
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs	Oct 31, 2024	Causal Inference	—Unverified	0	0
Algorithmic syntactic causal identification	Mar 14, 2024	Causal IdentificationCausal Inference	—Unverified	0	0
A Critical Review of Causal Reasoning Benchmarks for Large Language Models	Jul 10, 2024	Causal Inferencecounterfactual	—Unverified	0	0
Causal inference via algebraic geometry: feasibility tests for functional causal structures with two binary observed variables	Jun 12, 2015	Causal Inference	—Unverified	0	0
Causal Inference Using Tractable Circuits	Feb 7, 2022	Causal 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