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 621–630 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
Causality in cognitive neuroscience: concepts, challenges, and distributional robustness	Feb 14, 2020	Causal Inference	—Unverified	0	0
Behavioral Causal Inference	May 30, 2023	Causal Inference	—Unverified	0	0
Causality in cardiorespiratory signals in pediatric cardiac patients	Aug 5, 2022	Causal Inference	—Unverified	0	0
Be Causal: De-biasing Social Network Confounding in Recommendation	May 17, 2021	Causal InferenceRecommendation Systems	—Unverified	0	0
Analysis of cause-effect inference by comparing regression errors	Feb 19, 2018	Causal Inferenceregression	—Unverified	0	0
The Adaptive Doubly Robust Estimator for Policy Evaluation in Adaptive Experiments and a Paradox Concerning Logging Policy	Oct 8, 2020	Causal InferenceTime Series Analysis	—Unverified	0	0
Causality for Natural Language Processing	Apr 20, 2025	Causal InferenceDecision Making	—Unverified	0	0
Causality for Earth Science -- A Review on Time-series and Spatiotemporal Causality Methods	Apr 3, 2024	Causal DiscoveryCausal Inference	—Unverified	0	0
BayesIMP: Uncertainty Quantification for Causal Data Fusion	Jun 7, 2021	Bayesian OptimisationCausal Inference	—Unverified	0	0
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study	Dec 16, 2020	Causal InferenceTime Series Analysis	—Unverified	0	0

Show:10 25 50

← PrevPage 63 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