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 1476–1500 of 1722 papers

Title	Date	Tasks	Status	Hype
A discriminative approach for finding and characterizing positivity violations using decision trees	Jul 18, 2019	Causal Inferencevalid	—Unverified	0
Explaining Classifiers with Causal Concept Effect (CaCE)	Jul 16, 2019	Causal Inference	—Unverified	0
Quantifying Error in the Presence of Confounders for Causal Inference	Jul 10, 2019	Causal InferenceRepresentation Learning	—Unverified	0
Quantifying Confounding Bias in Neuroimaging Datasets with Causal Inference	Jul 9, 2019	Causal Inference	—Unverified	0
Adjustment Criteria for Recovering Causal Effects from Missing Data	Jul 2, 2019	Causal InferenceSelection bias	—Unverified	0
Identification In Missing Data Models Represented By Directed Acyclic Graphs	Jun 29, 2019	Causal Inference	—Unverified	0
Causal Inference Under Interference And Network Uncertainty	Jun 29, 2019	Causal Inference	—Unverified	0
Learning Causal State Representations of Partially Observable Environments	Jun 25, 2019	Causal InferenceReinforcement Learning	—Unverified	0
A Bayesian Solution to the M-Bias Problem	Jun 17, 2019	Causal Inference	—Unverified	0
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation	Jun 12, 2019	Causal InferenceDecision Making	CodeCode Available	0
Learning Individual Causal Effects from Networked Observational Data	Jun 8, 2019	Causal Inference	CodeCode Available	0
Reliable Estimation of Individual Treatment Effect with Causal Information Bottleneck	Jun 7, 2019	Causal Inference	—Unverified	0
Gradient-Based Neural DAG Learning	Jun 5, 2019	Causal Inference	CodeCode Available	0
Adapting Neural Networks for the Estimation of Treatment Effects	Jun 5, 2019	Causal Inference	CodeCode Available	0
The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis	Jun 4, 2019	BIG-bench Machine LearningCausal Inference	—Unverified	0
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference	Jun 2, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
Measuring and Modeling Language Change	Jun 1, 2019	Causal InferenceTwo-sample testing	—Unverified	0
Rarely-switching linear bandits: optimization of causal effects for the real world	May 30, 2019	Causal InferenceMulti-Armed Bandits	—Unverified	0
Multiple Causes: A Causal Graphical View	May 30, 2019	Causal Inferencevalid	—Unverified	0
Adapting Text Embeddings for Causal Inference	May 29, 2019	Causal IdentificationCausal Inference	CodeCode Available	1
Heterogeneous causal effects with imperfect compliance: a Bayesian machine learning approach	May 29, 2019	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
Privacy-Preserving Causal Inference via Inverse Probability Weighting	May 29, 2019	Causal InferenceEconometrics	—Unverified	0
Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization	May 28, 2019	Causal InferenceReinforcement Learning	—Unverified	0
Dirac Delta Regression: Conditional Density Estimation with Clinical Trials	May 24, 2019	Causal InferenceDensity Estimation	CodeCode Available	0
Contrastive Fairness in Machine Learning	May 17, 2019	BIG-bench Machine LearningCausal 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