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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 151–160 of 1722 papers

Title	Date	Tasks	Status	Hype	Score
CausalCite: A Causal Formulation of Paper Citations	Nov 5, 2023	Causal Inferencecounterfactual	CodeCode Available	1	5
Dynamic Causal Bayesian Optimization	Oct 26, 2021	Bayesian OptimizationCausal Inference	CodeCode Available	1	5
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation	Nov 3, 2022	AutoMLCausal Inference	CodeCode Available	1	5
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning	Nov 2, 2022	Causal Inferencereinforcement-learning	CodeCode Available	1	5
Estimating individual treatment effect: generalization bounds and algorithms	Jun 13, 2016	Causal InferenceGeneralization Bounds	CodeCode Available	1	5
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System	Apr 4, 2022	Causal Inferencecounterfactual	CodeCode Available	1	5
Adversarial Counterfactual Learning and Evaluation for Recommender System	Nov 8, 2020	Causal Inferencecounterfactual	CodeCode Available	1	5
Estimating the Causal Effect of Early ArXiving on Paper Acceptance	Jun 24, 2023	Causal Inference	CodeCode Available	1	5
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches	Apr 15, 2020	Bayesian InferenceCausal Inference	CodeCode Available	1	5
Comprehensive Knowledge Distillation with Causal Intervention	Dec 1, 2021	Causal InferenceKnowledge Distillation	CodeCode Available	1	5

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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