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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 1591–1600 of 1722 papers

Title	Date	Tasks	Status	Hype
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance	Oct 27, 2021	Causal InferenceClinical Knowledge	CodeCode Available	0
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge	Jun 22, 2021	Causal InferenceRepresentation Learning	CodeCode Available	0
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits	Dec 3, 2023	Causal InferenceMulti-Armed Bandits	CodeCode Available	0
Predictive Performance Comparison of Decision Policies Under Confounding	Apr 1, 2024	Causal InferenceDecision Making	CodeCode Available	0
On Causal Inference with Model-Based Outcomes	Mar 28, 2024	Causal Inferencemodel	CodeCode Available	0
Bayesian nonparametric discontinuity design	Nov 15, 2019	Causal InferenceExperimental Design	CodeCode Available	0
Forecasting Algorithms for Causal Inference with Panel Data	Aug 6, 2022	Causal Inferencecounterfactual	CodeCode Available	0
Bias and high-dimensional adjustment in observational studies of peer effects	Jun 14, 2017	Causal InferenceVocal Bursts Intensity Prediction	CodeCode Available	0
Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis	Feb 14, 2018	BenchmarkingCausal Inference	CodeCode Available	0
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding	Feb 4, 2024	Causal InferenceDimensionality Reduction	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