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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 781–790 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Inference (C-inf) -- closed form worst case typical phase transitions	Jan 2, 2023	Causal InferenceForm	—Unverified	0
Causal Inference (C-inf) -- asymmetric scenario of typical phase transitions	Jan 2, 2023	Causal Inference	—Unverified	0
PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation	Jan 1, 2023	Causal InferenceDomain Adaptation	—Unverified	0
Causally-Aware Intraoperative Imputation for Overall Survival Time Prediction	Jan 1, 2023	AttributeCausal Discovery	—Unverified	0
Layout-Based Causal Inference for Object Navigation	Jan 1, 2023	Causal InferenceObject	—Unverified	0
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects	Jan 1, 2023	Causal InferenceFederated Learning	CodeCode Available	0
Causal Deep Learning	Jan 1, 2023	Causal InferenceDeep Learning	—Unverified	0
Nuisance Function Tuning and Sample Splitting for Optimal Doubly Robust Estimation	Dec 30, 2022	Causal Inference	—Unverified	0
Identifying causal effects with subjective ordinal outcomes	Dec 30, 2022	Causal IdentificationCausal Inference	—Unverified	0
Simplifying Causality: A Brief Review of Philosophical Views and Definitions with Examples from Economics, Education, Medicine, Policy, Physics and Engineering	Dec 27, 2022	Causal Inferencecounterfactual	—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