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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 1521–1530 of 1722 papers

Title	Date	Tasks	Status	Hype
Learning to search efficiently for causally near-optimal treatments	Jul 2, 2020	Causal InferenceReinforcement Learning (RL)	CodeCode Available	0
Learning Treatment Effects in Panels with General Intervention Patterns	Jun 5, 2021	Causal Inference	CodeCode Available	0
Estimating Causal Effects with the Neural Autoregressive Density Estimator	Aug 17, 2020	Causal Inference	CodeCode Available	0
ParKCa: Causal Inference with Partially Known Causes	Mar 17, 2020	Causal Inferencecounterfactual	CodeCode Available	0
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning	Mar 7, 2023	Causal InferenceConformal Prediction	CodeCode Available	0
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information Preserving	Dec 9, 2021	Causal InferenceWord Embeddings	CodeCode Available	0
Estimating heterogeneous survival treatment effect in observational data using machine learning	Aug 17, 2020	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs	Mar 6, 2024	Causal DiscoveryCausal Inference	CodeCode Available	0
Scalable Causal Domain Adaptation	Feb 27, 2021	Causal DiscoveryCausal Inference	CodeCode Available	0
Treatment effects without multicollinearity? Temporal order and the Gram-Schmidt process in causal inference	Feb 27, 2024	Causal InferenceReading Comprehension	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