SOTAVerified|Agents Browse Leaderboard About

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 1021–1030 of 1722 papers

Title	Date	Tasks	Status	Hype
A Causal Lens for Controllable Text Generation	Jan 22, 2022	AttributeCausal Inference	—Unverified	0
Unicorn: Reasoning about Configurable System Performance through the lens of Causality	Jan 20, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	1
DRTCI: Learning Disentangled Representations for Temporal Causal Inference	Jan 20, 2022	Causal Inferencecounterfactual	—Unverified	0
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges	Jan 18, 2022	Causal InferencePrediction	—Unverified	0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction	Jan 16, 2022	Causal InferenceInformation Retrieval	—Unverified	0
Conceptualizing Treatment Leakage in Text-based Causal Inference	Jan 16, 2022	Causal Inference	—Unverified	0
Debiased Recommendation with User Feature Balancing	Jan 16, 2022	Causal InferenceRecommendation Systems	—Unverified	0
Automated causal inference in application to randomized controlled clinical trials	Jan 15, 2022	Causal Inference	CodeCode Available	0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery	Jan 13, 2022	Causal InferenceData Integration	—Unverified	0
Kernel methods for long term dose response curves	Jan 13, 2022	Causal Inferencecounterfactual	—Unverified	0

Show:10 25 50

← PrevPage 103 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