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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 861–870 of 1722 papers

Title	Date	Tasks	Status	Hype
Minimax Optimal Kernel Operator Learning via Multilevel Training	Sep 28, 2022	Causal InferenceMulti-agent Reinforcement Learning	—Unverified	0
Off-policy estimation of linear functionals: Non-asymptotic theory for semi-parametric efficiency	Sep 26, 2022	Causal Inference	—Unverified	0
Weather2vec: Representation Learning for Causal Inference with Non-Local Confounding in Air Pollution and Climate Studies	Sep 25, 2022	Causal InferenceRepresentation Learning	CodeCode Available	0
Granger Causality for Compressively Sensed Sparse Signals	Sep 23, 2022	Causal Inferencecompressed sensing	—Unverified	0
Off-Policy Evaluation for Episodic Partially Observable Markov Decision Processes under Non-Parametric Models	Sep 21, 2022	Causal InferenceOff-policy evaluation	—Unverified	0
A Survey of Deep Causal Models and Their Industrial Applications	Sep 19, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Quantifying How Hateful Communities Radicalize Online Users	Sep 19, 2022	Causal InferenceTime Series Analysis	—Unverified	0
Avoiding Biased Clinical Machine Learning Model Performance Estimates in the Presence of Label Selection	Sep 15, 2022	Causal Inference	—Unverified	0
ρ-GNF: A Copula-based Sensitivity Analysis to Unobserved Confounding Using Normalizing Flows	Sep 15, 2022	Causal InferenceSensitivity	CodeCode Available	0
Stochastic Tree Ensembles for Estimating Heterogeneous Effects	Sep 15, 2022	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