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 1051–1075 of 1722 papers

Title	Date	Tasks	Status	Hype
Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information	Dec 1, 2021	Causal Inference	—Unverified	0
Estimating Multi-cause Treatment Effects via Single-cause Perturbation	Dec 1, 2021	Causal Inferencevalid	CodeCode Available	1
Causal Inference for Event Pairs in Multivariate Point Processes	Dec 1, 2021	Causal InferencePoint Processes	—Unverified	0
The Adaptive Doubly Robust Estimator and a Paradox Concerning Logging Policy	Dec 1, 2021	Causal Inference	—Unverified	0
Answering Complex Causal Queries With the Maximum Causal Set Effect	Dec 1, 2021	Causal Inference	—Unverified	0
Comprehensive Knowledge Distillation with Causal Intervention	Dec 1, 2021	Causal InferenceKnowledge Distillation	CodeCode Available	1
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms	Nov 30, 2021	Causal InferenceCrash injury severity	—Unverified	0
A Two-Stage Feature Selection Approach for Robust Evaluation of Treatment Effects in High-Dimensional Observational Data	Nov 27, 2021	Causal Inferencefeature selection	—Unverified	0
A Kernel Test for Causal Association via Noise Contrastive Backdoor Adjustment	Nov 25, 2021	Causal Inference	CodeCode Available	0
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs	Nov 20, 2021	Causal Inference	CodeCode Available	1
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling	Nov 19, 2021	Causal InferencePrediction	CodeCode Available	1
ROCK: A Causal Inference Framework for Reasoning about Commonsense Causality	Nov 16, 2021	Causal Inference	—Unverified	0
CaM-Gen: Causally-aware Guided Text Generation	Nov 16, 2021	Causal InferenceText Generation	—Unverified	0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Zero-Shot Low-Resource Language Temporal Expression Extraction	Nov 16, 2021	Causal InferenceInformation Retrieval	—Unverified	0
Causal Effect Variational Autoencoder with Uniform Treatment	Nov 16, 2021	Causal InferenceDomain Adaptation	—Unverified	0
ADCB: An Alzheimer's disease benchmark for evaluating observational estimators of causal effects	Nov 12, 2021	BenchmarkingCausal Inference	—Unverified	0
Variational Auto-Encoder Architectures that Excel at Causal Inference	Nov 11, 2021	Causal Inference	—Unverified	0
Generalized Kernel Ridge Regression for Causal Inference with Missing-at-Random Sample Selection	Nov 9, 2021	Causal Inferencecounterfactual	—Unverified	0
Positivity Validation Detection and Explainability via Zero Fraction Multi-Hypothesis Testing and Asymmetrically Pruned Decision Trees	Nov 7, 2021	Causal Inference	—Unverified	0
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response Curves	Nov 6, 2021	Causal Inferencecounterfactual	CodeCode Available	0
Causal Inference with Hidden Mediators	Nov 4, 2021	Causal Inference	CodeCode Available	0
Causal inference with imperfect instrumental variables	Nov 4, 2021	Causal Inferencevalid	—Unverified	0
It’s quality and quantity: the effect of the amount of comments on online suicidal posts	Nov 1, 2021	Causal Inference	—Unverified	0
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States	Nov 1, 2021	Causal InferenceDecision Making	—Unverified	0
A framework for causal segmentation analysis with machine learning in large-scale digital experiments	Nov 1, 2021	Causal Inference	CodeCode Available	1

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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