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 101–110 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling	Nov 19, 2021	Causal InferencePrediction	CodeCode Available	1	5
A Counterfactual Collaborative Session-based Recommender System	Jan 31, 2023	Causal Inferencecounterfactual	CodeCode Available	1	5
Causal intersectionality for fair ranking	Jun 15, 2020	Causal InferenceFairness	CodeCode Available	1	5
Disentangling User Interest and Conformity for Recommendation with Causal Embedding	Jun 19, 2020	Causal Inference	CodeCode Available	1	5
Double/Debiased Machine Learning for Treatment and Causal Parameters	Jul 30, 2016	BIG-bench Machine LearningCausal Inference	CodeCode Available	1	5
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning	Nov 2, 2022	Causal Inferencereinforcement-learning	CodeCode Available	1	5
Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning	Feb 1, 2021	BIG-bench Machine LearningCausal Inference	CodeCode Available	1	5
Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework	Jun 12, 2024	BenchmarkingCausal Inference	CodeCode Available	1	5
CIDGMed: Causal Inference-Driven Medication Recommendation with Enhanced Dual-Granularity Learning	Mar 1, 2024	Causal InferenceRecommendation Systems	CodeCode Available	1	5
CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events	Dec 3, 2024	ArticlesCausal Inference	CodeCode Available	1	5

Show:10 25 50

← PrevPage 11 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