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 1711–1720 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models	Sep 23, 2018	Causal InferenceClustering	CodeCode Available	0
Neuroevolutionary representations for learning heterogeneous treatment effects	May 25, 2023	Causal Inference	CodeCode Available	0
Inference on Optimal Dynamic Policies via Softmax Approximation	Mar 8, 2023	Causal InferenceDecision Making	CodeCode Available	0
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data	May 2, 2016	Causal Inference	CodeCode Available	0
Inferring Individual Direct Causal Effects Under Heterogeneous Peer Influence	May 27, 2023	Causal InferenceGraph Neural Network	CodeCode Available	0
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules	Apr 25, 2024	Causal Inference	CodeCode Available	0
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models	Oct 7, 2022	Causal InferenceMachine Translation	CodeCode Available	0
A Brief Review of Hypernetworks in Deep Learning	Jun 12, 2023	Causal InferenceContinual Learning	CodeCode Available	0
Reframed GES with a Neural Conditional Dependence Measure	Jun 17, 2022	Causal DiscoveryCausal Inference	CodeCode Available	0
Structural Causal Models Are (Solvable by) Credal Networks	Aug 2, 2020	Causal Inference	CodeCode Available	0

Show:10 25 50

← PrevPage 172 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