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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 651–660 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network	Oct 25, 2022	Adversarial RobustnessCausal Inference	—Unverified	0	0
Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization	Jan 28, 2023	Causal InferenceSensitivity	—Unverified	0	0
Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach	Jun 18, 2022	Causal Inference	—Unverified	0	0
Bayesian causal inference via probabilistic program synthesis	Oct 30, 2019	Bayesian InferenceCausal Inference	—Unverified	0	0
Causal Inference With Selectively Deconfounded Data	Feb 25, 2020	Causal Inference	—Unverified	0	0
Bayesian Causal Inference in Doubly Gaussian DAG-probit Models	Apr 12, 2023	Causal Inference	—Unverified	0	0
Causal inference with Machine Learning-Based Covariate Representation	Nov 3, 2023	Causal Inference	—Unverified	0	0
A Bayesian Model for Bivariate Causal Inference	Dec 24, 2018	BenchmarkingCausal Inference	—Unverified	0	0
A Mixing Time Lower Bound for a Simplified Version of BART	Oct 17, 2022	Causal Inferenceregression	—Unverified	0	0
Active and Passive Causal Inference Learning	Aug 18, 2023	Causal IdentificationCausal 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