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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 1081–1090 of 1722 papers

Title	Date	Tasks	Status	Hype
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game	Oct 27, 2021	Causal InferenceHeterogeneous Treatment Effect Estimation	—Unverified	0
Finding Regions of Heterogeneity in Decision-Making via Expected Conditional Covariance	Oct 27, 2021	Causal InferenceClinical Knowledge	CodeCode Available	0
Dynamic Causal Bayesian Optimization	Oct 26, 2021	Bayesian OptimizationCausal Inference	CodeCode Available	1
Causal Effect Estimation using Variational Information Bottleneck	Oct 26, 2021	Causal Inferencecounterfactual	CodeCode Available	0
Evaluating shifts in mobility and COVID-19 case rates in U.S. counties: A demonstration of modified treatment policies for causal inference with continuous exposures	Oct 24, 2021	Causal Inference	CodeCode Available	0
Partially Intervenable Causal Models	Oct 24, 2021	Causal Inference	—Unverified	0
Double Trouble: How to not explain a text classifier's decisions using counterfactuals synthesized by masked language models?	Oct 22, 2021	Causal Inference	CodeCode Available	0
A Taxonomy for Inference in Causal Model Families	Oct 22, 2021	Causal Inferencemodel	—Unverified	0
Individualized Decision-Making Under Partial Identification: Three Perspectives, Two Optimality Results, and One Paradox	Oct 21, 2021	Causal InferenceDecision Making	—Unverified	0
fairadapt: Causal Reasoning for Fair Data Pre-processing	Oct 19, 2021	AttributeBIG-bench Machine Learning	—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