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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 1621–1630 of 1722 papers

Title	Date	Tasks	Status	Hype
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs	May 29, 2024	Causal InferenceGraph Neural Network	CodeCode Available	0
A Fast Bootstrap Algorithm for Causal Inference with Large Data	Feb 6, 2023	Causal InferenceComputational Efficiency	CodeCode Available	0
DNA-SE: Towards Deep Neural-Nets Assisted Semiparametric Estimation	Aug 4, 2024	Causal InferenceTransfer Learning	CodeCode Available	0
MERLiN: Mixture Effect Recovery in Linear Networks	Dec 3, 2015	Causal InferenceEEG	CodeCode Available	0
The Computational Curse of Big Data for Bayesian Additive Regression Trees: A Hitting Time Analysis	Jun 28, 2024	Causal Inferenceregression	CodeCode Available	0
Weighted Tensor Completion for Time-Series Causal Inference	Feb 12, 2019	Causal InferenceTime Series	CodeCode Available	0
Using Causal Analysis for Conceptual Deep Learning Explanation	Jul 10, 2021	Causal InferenceClinical Knowledge	CodeCode Available	0
Grab the Reins of Crowds: Estimating the Effects of Crowd Movement Guidance Using Causal Inference	Feb 8, 2021	Causal Inferencecounterfactual	CodeCode Available	0
Gradient-Based Neural DAG Learning	Jun 5, 2019	Causal Inference	CodeCode Available	0
Granger Causal Inference in Multivariate Hawkes Processes by Minimum Message Length	Sep 5, 2023	Causal InferenceModel Selection	CodeCode Available	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