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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 541–550 of 1722 papers

Title	Date	Tasks	Status	Hype
Adventures in Demand Analysis Using AI	Dec 31, 2024	Causal Inference	—Unverified	0
Confronting Machine Learning With Financial Research	Feb 28, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles	May 1, 2020	Causal DiscoveryCausal Inference	—Unverified	0
Causal-Copilot: An Autonomous Causal Analysis Agent	Apr 17, 2025	Causal DiscoveryCausal Inference	—Unverified	0
Adventurer: Optimizing Vision Mamba Architecture Designs for Efficiency	Jan 1, 2025	Causal InferenceMamba	—Unverified	0
Causal Coordinated Concurrent Reinforcement Learning	Jan 31, 2024	Causal Inferencereinforcement-learning	—Unverified	0
Causal Contrastive Learning for Counterfactual Regression Over Time	Jun 1, 2024	Causal InferenceContrastive Learning	—Unverified	0
A Perspective on Gaussian Processes for Earth Observation	Jul 2, 2020	Causal InferenceEarth Observation	—Unverified	0
Causal Modeling with Stochastic Confounders	Apr 24, 2020	Causal Inference	—Unverified	0
Causal Confirmation Measures: From Simpson's Paradox to COVID-19	Feb 3, 2023	Causal Inference	—Unverified	0

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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