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 26–50 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Inference in Recommender Systems: A Survey of Strategies for Bias Mitigation, Explanation, and Generalization	Jan 3, 2023	Causal InferenceRecommendation Systems	CodeCode Available	1
Training a Resilient Q-Network against Observational Interference	Feb 18, 2021	Causal InferenceDeep Reinforcement Learning	CodeCode Available	1
Causal Inference with the Instrumental Variable Approach and Bayesian Nonparametric Machine Learning	Feb 1, 2021	BIG-bench Machine LearningCausal Inference	CodeCode Available	1
Causal Inference for Chatting Handoff	Oct 6, 2022	Causal InferenceChatbot	CodeCode Available	1
Causal Knowledge Guided Societal Event Forecasting	Dec 10, 2021	Causal Inference	CodeCode Available	1
Causal Incremental Graph Convolution for Recommender System Retraining	Aug 16, 2021	Causal InferenceRecommendation Systems	CodeCode Available	1
Causal Inference for Qualitative Outcomes	Feb 17, 2025	Causal Inference	CodeCode Available	1
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality	Jan 31, 2022	Causal Inference	CodeCode Available	1
Causal Modeling of Twitter Activity During COVID-19	May 16, 2020	Causal InferenceDescriptive	CodeCode Available	1
CausalEGM: a general causal inference framework by encoding generative modeling	Dec 8, 2022	Causal InferenceDecoder	CodeCode Available	1
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation Data	Oct 31, 2022	Causal DiscoveryCausal Inference	CodeCode Available	1
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning	Nov 2, 2022	Causal Inferencereinforcement-learning	CodeCode Available	1
A Brief Introduction to Causal Inference in Machine Learning	May 14, 2024	Causal InferenceOut-of-Distribution Generalization	CodeCode Available	1
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space	Jul 16, 2022	6D Pose EstimationCausal Inference	CodeCode Available	1
Active Bayesian Causal Inference	Jun 4, 2022	Active LearningCausal Discovery	CodeCode Available	1
MiranDa: Mimicking the Learning Processes of Human Doctors to Achieve Causal Inference for Medication Recommendation	Jul 23, 2024	Causal Inferencecounterfactual	CodeCode Available	1
Can Large Language Models Infer Causation from Correlation?	Jun 9, 2023	Causal Inference	CodeCode Available	1
Causal Autoregressive Flows	Nov 4, 2020	Causal DiscoveryCausal Inference	CodeCode Available	1
CausalCite: A Causal Formulation of Paper Citations	Nov 5, 2023	Causal Inferencecounterfactual	CodeCode Available	1
Causal Effect Inference with Deep Latent-Variable Models	May 24, 2017	Causal Inference	CodeCode Available	1
causalgraph: A Python Package for Modeling, Persisting and Visualizing Causal Graphs Embedded in Knowledge Graphs	Jan 20, 2023	Causal DiscoveryCausal Inference	CodeCode Available	1
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias	May 5, 2018	Causal DiscoveryCausal Inference	CodeCode Available	1
CausalImages: An R Package for Causal Inference with Earth Observation, Bio-medical, and Social Science Images	Sep 30, 2023	Causal InferenceEarth Observation	CodeCode Available	1
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition	Jun 13, 2022	Causal InferenceFault Diagnosis	CodeCode Available	1
A Survey on Causal Inference for Recommendation	Mar 21, 2023	Causal Inferencecounterfactual	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