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 1326–1350 of 1722 papers

Title	Date	Tasks	Status	Hype
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control	Sep 18, 2020	Causal Inferencecounterfactual	—Unverified	0
How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User Engagement	Sep 17, 2020	ArticlesCausal Inference	CodeCode Available	0
Causal Inference of General Treatment Effects using Neural Networks with A Diverging Number of Confounders	Sep 15, 2020	Causal Inference	—Unverified	0
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation	Sep 15, 2020	Causal Inferencecounterfactual	—Unverified	0
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review	Sep 14, 2020	Causal InferenceModel Selection	CodeCode Available	0
Semi-supervised learning and the question of true versus estimated propensity scores	Sep 14, 2020	Causal Inference	CodeCode Available	0
Local Composite Quantile Regression for Regression Discontinuity	Sep 8, 2020	Causal Inferencequantile regression	—Unverified	0
Quantifying the Causal Effects of Conversational Tendencies	Sep 8, 2020	Causal Inference	—Unverified	0
Causal Inference in Possibly Nonlinear Factor Models	Aug 31, 2020	Causal Inferencecounterfactual	CodeCode Available	0
Path Dependent Structural Equation Models	Aug 24, 2020	Causal Inference	—Unverified	0
Hi-CI: Deep Causal Inference in High Dimensions	Aug 22, 2020	Causal Inferencecounterfactual	—Unverified	0
Long-Term Effect Estimation with Surrogate Representation	Aug 19, 2020	Causal Inference	CodeCode Available	1
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes	Aug 18, 2020	Causal Inferenceregression	—Unverified	0
Estimating heterogeneous survival treatment effect in observational data using machine learning	Aug 17, 2020	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
Estimating Causal Effects with the Neural Autoregressive Density Estimator	Aug 17, 2020	Causal Inference	CodeCode Available	0
Signal Processing on Directed Graphs	Aug 2, 2020	Causal Inference	—Unverified	0
Structural Causal Models Are (Solvable by) Credal Networks	Aug 2, 2020	Causal Inference	CodeCode Available	0
Determining the Relevance of Features for Deep Neural Networks	Aug 1, 2020	Causal Inference	—Unverified	0
Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding	Jul 24, 2020	Causal Inferenceregression	—Unverified	0
Computational Causal Inference	Jul 21, 2020	Causal InferenceDecision Making	—Unverified	0
Moment-Matching Graph-Networks for Causal Inference	Jul 20, 2020	Causal InferenceGraph Neural Network	CodeCode Available	0
Autoregressive flow-based causal discovery and inference	Jul 18, 2020	Causal DiscoveryCausal Inference	CodeCode Available	1
Latent Instrumental Variables as Priors in Causal Inference based on Independence of Cause and Mechanism	Jul 17, 2020	Causal DiscoveryCausal Inference	—Unverified	0
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data	Jul 16, 2020	Causal Inference	CodeCode Available	1
Causal Inference using Gaussian Processes with Structured Latent Confounders	Jul 14, 2020	Causal InferenceGaussian Processes	—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