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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 1501–1510 of 1722 papers

Title	Date	Tasks	Status	Hype
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation	Jul 6, 2021	Causal Inferencecounterfactual	CodeCode Available	0
Understand Waiting Time in Transaction Fee Mechanism: An Interdisciplinary Perspective	May 4, 2023	Causal InferenceComputer Security	CodeCode Available	0
How Fragile is Relation Extraction under Entity Replacements?	May 22, 2023	BenchmarkingCausal Inference	CodeCode Available	0
Entropic Causal Inference	Nov 12, 2016	Causal Inference	CodeCode Available	0
Can Large Language Models (or Humans) Disentangle Text?	Mar 25, 2024	Causal InferenceDisentanglement	CodeCode Available	0
Outcome-adaptive lasso: variable selection for causal inference	Mar 8, 2017	Causal InferenceVariable Selection	CodeCode Available	0
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits	Dec 1, 2019	Causal InferenceModel Selection	CodeCode Available	0
Towards a Learning Theory of Cause-Effect Inference	Feb 9, 2015	Causal InferenceGeneralization Bounds	CodeCode Available	0
Learning Representations for Counterfactual Inference	May 12, 2016	Causal Inferencecounterfactual	CodeCode Available	0
Environment Invariant Linear Least Squares	Mar 6, 2023	Causal Inferenceregression	CodeCode Available	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