SOTAVerified|Agents Browse Leaderboard About Blog

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 1581–1590 of 1722 papers

Title	Date	Tasks	Status	Hype
The Blessings of Multiple Causes	May 17, 2018	Causal Inference	CodeCode Available	0
Machine Learning for Public Administration Research, with Application to Organizational Reputation	May 11, 2018	BIG-bench Machine LearningCausal Inference	—Unverified	0
Bivariate Causal Discovery and its Applications to Gene Expression and Imaging Data Analysis	May 10, 2018	Causal DiscoveryCausal Inference	—Unverified	0
Causal programming: inference with structural causal models as finding instances of a relation	May 4, 2018	Causal DiscoveryCausal Inference	—Unverified	0
Data science is science's second chance to get causal inference right: A classification of data science tasks	Apr 28, 2018	Causal Inferencecounterfactual	—Unverified	0
Causal Inference via Kernel Deviance Measures	Apr 12, 2018	Causal DiscoveryCausal Inference	—Unverified	0
AFA-PredNet: The action modulation within predictive coding	Apr 11, 2018	Causal InferencePrediction	—Unverified	0
Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond	Mar 29, 2018	Causal InferenceTopic Models	—Unverified	0
Causal Inference for Survival Analysis	Mar 22, 2018	Causal InferenceSurvival Analysis	—Unverified	0
Causal Inference on Discrete Data via Estimating Distance Correlations	Mar 21, 2018	Causal Inference	—Unverified	0

Show:10 25 50

← PrevPage 159 of 173Next →

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