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 1626–1650 of 1722 papers

Title	Date	Tasks	Status	Hype
Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data	Jun 30, 2017	Causal InferenceModel Selection	—Unverified	0
Deep Counterfactual Networks with Propensity-Dropout	Jun 19, 2017	Causal Inferencecounterfactual	CodeCode Available	0
Bias and high-dimensional adjustment in observational studies of peer effects	Jun 14, 2017	Causal InferenceVocal Bursts Intensity Prediction	CodeCode Available	0
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform	Jun 8, 2017	Causal Inference	—Unverified	0
Learning Causal Structures Using Regression Invariance	May 26, 2017	Causal Inferenceregression	—Unverified	0
Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion	May 25, 2017	Causal DiscoveryCausal Inference	—Unverified	0
Auditing Search Engines for Differential Satisfaction Across Demographics	May 24, 2017	Causal Inference	—Unverified	0
Causal Effect Inference with Deep Latent-Variable Models	May 24, 2017	Causal Inference	CodeCode Available	1
RankPL: A Qualitative Probabilistic Programming Language	May 19, 2017	Causal InferenceProbabilistic Programming	—Unverified	0
GP CaKe: Effective brain connectivity with causal kernels	May 16, 2017	Causal Inference	—Unverified	0
Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS)	Apr 28, 2017	Causal Inference	—Unverified	0
Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation data	Apr 17, 2017	Causal Inference	CodeCode Available	0
Counterfactual Fairness	Mar 20, 2017	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
Estimation and Inference on Nonlinear and Heterogeneous Effects	Mar 16, 2017	BIG-bench Machine LearningCausal Inference	—Unverified	0
Probabilistic Matching: Causal Inference under Measurement Errors	Mar 13, 2017	Causal Inference	—Unverified	0
Outcome-adaptive lasso: variable selection for causal inference	Mar 8, 2017	Causal InferenceVariable Selection	CodeCode Available	0
Causal Inference by Stochastic Complexity	Feb 22, 2017	Causal Inference	—Unverified	0
Causal Inference on Multivariate and Mixed-Type Data	Feb 21, 2017	Causal InferenceVocal Bursts Type Prediction	—Unverified	0
Simple rules for complex decisions	Feb 15, 2017	Causal Inferencecounterfactual	—Unverified	0
Interaction Information for Causal Inference: The Case of Directed Triangle	Jan 30, 2017	Causal Inference	—Unverified	0
Semidefinite tests for latent causal structures	Jan 3, 2017	Causal Inference	—Unverified	0
Generalized Optimal Matching Methods for Causal Inference	Dec 26, 2016	Causal Inference	—Unverified	0
Joint Causal Inference from Multiple Contexts	Nov 30, 2016	Causal DiscoveryCausal Inference	—Unverified	0
Causal Inference in Observational Data	Nov 15, 2016	Causal Inference	—Unverified	0
Entropic Causal Inference	Nov 12, 2016	Causal Inference	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