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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 261–270 of 1722 papers

Title	Date	Tasks	Status	Hype
Average Controlled and Average Natural Micro Direct Effects in Summary Causal Graphs	Oct 31, 2024	Causal Inference	—Unverified	0
A Critical Review of Causal Reasoning Benchmarks for Large Language Models	Jul 10, 2024	Causal Inferencecounterfactual	—Unverified	0
The Impact of Missing Data on Causal Discovery: A Multicentric Clinical Study	May 17, 2023	Causal DiscoveryCausal Inference	—Unverified	0
Algorithmic Bias in Recidivism Prediction: A Causal Perspective	Nov 24, 2019	Causal InferenceFairness	—Unverified	0
A Causal Framework for Decomposing Spurious Variations	Jun 8, 2023	Causal InferenceEpidemiology	—Unverified	0
Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference	Jan 12, 2025	Causal InferenceDimensionality Reduction	—Unverified	0
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models	Feb 12, 2021	Causal InferenceOpen-Ended Question Answering	—Unverified	0
Causal Effect Identification in Uncertain Causal Networks	Aug 9, 2022	Causal IdentificationCausal Inference	—Unverified	0
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands	Jan 21, 2025	Causal InferenceModel Selection	—Unverified	0
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition	Jul 9, 2017	Causal Inference	—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