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 751–775 of 1722 papers

Title	Date	Tasks	Status	Hype
Debiasing Recommendation by Learning Identifiable Latent Confounders	Feb 10, 2023	Causal Inferencecounterfactual	CodeCode Available	0
An End-to-End Framework for Marketing Effectiveness Optimization under Budget Constraint	Feb 9, 2023	Causal InferenceMarketing	—Unverified	0
Toward a Theory of Causation for Interpreting Neural Code Models	Feb 7, 2023	Causal Inference	—Unverified	0
A Fast Bootstrap Algorithm for Causal Inference with Large Data	Feb 6, 2023	Causal InferenceComputational Efficiency	CodeCode Available	0
Causal Estimation of Exposure Shifts with Neural Networks	Feb 6, 2023	Causal Inference	CodeCode Available	0
Causal Confirmation Measures: From Simpson's Paradox to COVID-19	Feb 3, 2023	Causal Inference	—Unverified	0
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling	Feb 3, 2023	Causal Inference	—Unverified	0
Causal Effect Estimation: Recent Advances, Challenges, and Opportunities	Feb 2, 2023	Causal InferenceMarketing	—Unverified	0
How to select predictive models for causal inference?	Feb 1, 2023	Causal InferenceModel Selection	—Unverified	0
A Counterfactual Collaborative Session-based Recommender System	Jan 31, 2023	Causal Inferencecounterfactual	CodeCode Available	1
Improving Open-Domain Dialogue Evaluation with a Causal Inference Model	Jan 31, 2023	Causal Inferencecounterfactual	—Unverified	0
Integrating Earth Observation Data into Causal Inference: Challenges and Opportunities	Jan 30, 2023	Causal InferenceEarth Observation	CodeCode Available	1
Unveiling Environmental Sensitivity of Individual Gains in Influence Maximization	Jan 28, 2023	Causal InferenceSensitivity	—Unverified	0
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine	Jan 28, 2023	BenchmarkingCausal Inference	CodeCode Available	1
Convolutional neural networks for valid and efficient causal inference	Jan 27, 2023	Causal Inferencevalid	CodeCode Available	0
Proximal Causal Learning of Conditional Average Treatment Effects	Jan 26, 2023	Causal InferenceMarketing	—Unverified	0
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data	Jan 25, 2023	Causal DiscoveryCausal Inference	CodeCode Available	2
Causal Inference under Data Restrictions	Jan 20, 2023	Causal Inferencecounterfactual	—Unverified	0
causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge Graphs	Jan 20, 2023	Causal DiscoveryCausal Inference	CodeCode Available	1
Optimal Transport for Counterfactual Estimation: A Method for Causal Inference	Jan 18, 2023	Causal Inferencecounterfactual	CodeCode Available	0
Non-parametric identifiability and sensitivity analysis of synthetic control models	Jan 18, 2023	Causal InferenceSensitivity	—Unverified	0
Causal Falsification of Digital Twins	Jan 17, 2023	Causal Inference	CodeCode Available	0
Causal Recurrent Variational Autoencoder for Medical Time Series Generation	Jan 16, 2023	Causal InferenceDecoder	CodeCode Available	1
Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial Intelligence	Jan 15, 2023	Causal Inference	CodeCode Available	1
Interacting Treatments with Endogenous Takeup	Jan 12, 2023	Causal 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