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 1331–1340 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Campbell-Goodhart's law and Reinforcement Learning	Nov 2, 2020	Causal InferenceDecision Making	CodeCode Available	0
Exploring Logically Dependent Multi-task Learning with Causal Inference	Nov 1, 2020	Causal Inferencecounterfactual	—Unverified	0
Structural Causal Model with Expert Augmented Knowledge to Estimate the Effect of Oxygen Therapy on Mortality in the ICU	Oct 28, 2020	Causal Inference	—Unverified	0
CaM-Gen:Causally-aware Metric-guided Text Generation	Oct 24, 2020	Causal InferenceText Generation	—Unverified	0
Counterfactual Representation Learning with Balancing Weights	Oct 23, 2020	Causal Inferencecounterfactual	—Unverified	0
Poincare: Recommending Publication Venues via Treatment Effect Estimation	Oct 19, 2020	Causal InferenceRecommendation Systems	CodeCode Available	0
Causal Discovery using Compression-Complexity Measures	Oct 19, 2020	Causal DiscoveryCausal Inference	CodeCode Available	0
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges	Oct 19, 2020	BIG-bench Machine LearningCausal Inference	—Unverified	0
Causal Inference in the Presence of Interference in Sponsored Search Advertising	Oct 15, 2020	Causal Inference	—Unverified	0
Double Robust Representation Learning for Counterfactual Prediction	Oct 15, 2020	Causal Inferencecounterfactual	CodeCode Available	0

Show:10 25 50

← PrevPage 134 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