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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 901–910 of 1722 papers

Title	Date	Tasks	Status	Hype
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation	Jul 19, 2022	Causal InferenceMulti-Task Learning	CodeCode Available	1
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space	Jul 16, 2022	6D Pose EstimationCausal Inference	CodeCode Available	1
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions	Jul 11, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
On the Representation of Causal Background Knowledge and its Applications in Causal Inference	Jul 10, 2022	Causal Inference	—Unverified	0
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis	Jul 8, 2022	BIG-bench Machine LearningCausal Inference	—Unverified	0
On The Universality of Diagrams for Causal Inference and The Causal Reproducing Property	Jul 6, 2022	Causal InferenceLEMMA	—Unverified	0
The Short-term Impact of Congestion Taxes on Ridesourcing Demand and Traffic Congestion: Evidence from Chicago	Jul 5, 2022	Causal Inferenceregression	—Unverified	0
A Causal Approach for Business Optimization: Application on an Online Marketplace	Jul 4, 2022	Causal Inference	—Unverified	0
Breaking Feedback Loops in Recommender Systems with Causal Inference	Jul 4, 2022	Causal InferenceRecommendation Systems	—Unverified	0
Non-Parametric Inference of Relational Dependence	Jun 30, 2022	Causal Inference	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