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 51–75 of 1722 papers

Title	Date	Tasks	Status	Hype
Causal Parrots: Large Language Models May Talk Causality But Are Not Causal	Aug 24, 2023	Causal Inference	CodeCode Available	1
Causal Proxy Models for Concept-Based Model Explanations	Sep 28, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Causal Reinforcement Learning using Observational and Interventional Data	Jun 28, 2021	Causal InferenceModel-based Reinforcement Learning	CodeCode Available	1
Causal Rule Ensemble: Interpretable Discovery and Inference of Heterogeneous Treatment Effects	Sep 18, 2020	Causal InferenceEpidemiology	CodeCode Available	1
Causal Inference for Chatting Handoff	Oct 6, 2022	Causal InferenceChatbot	CodeCode Available	1
Active Bayesian Causal Inference	Jun 4, 2022	Active LearningCausal Discovery	CodeCode Available	1
CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior	May 27, 2022	Causal Inferencecounterfactual	CodeCode Available	1
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System	Apr 4, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Collective Privacy Recovery: Data-sharing Coordination via Decentralized Artificial Intelligence	Jan 15, 2023	Causal Inference	CodeCode Available	1
Comprehensive Knowledge Distillation with Causal Intervention	Dec 1, 2021	Causal InferenceKnowledge Distillation	CodeCode Available	1
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations	Jun 16, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification	Aug 19, 2021	Causal Inferencecounterfactual	CodeCode Available	1
Causal Inference in Recommender Systems: A Survey and Future Directions	Aug 26, 2022	Causal InferenceClick-Through Rate Prediction	CodeCode Available	1
Causal Knowledge Guided Societal Event Forecasting	Dec 10, 2021	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
Causal Image Modeling for Efficient Visual Understanding	Oct 10, 2024	Causal Inference	CodeCode Available	1
Causal Effect Inference with Deep Latent-Variable Models	May 24, 2017	Causal Inference	CodeCode Available	1
Causal Autoregressive Flows	Nov 4, 2020	Causal DiscoveryCausal Inference	CodeCode Available	1
Adversarial Counterfactual Learning and Evaluation for Recommender System	Nov 8, 2020	Causal Inferencecounterfactual	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
CausalEGM: a general causal inference framework by encoding generative modeling	Dec 8, 2022	Causal InferenceDecoder	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
CausalCite: A Causal Formulation of Paper Citations	Nov 5, 2023	Causal Inferencecounterfactual	CodeCode Available	1
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning	Nov 2, 2022	Causal Inferencereinforcement-learning	CodeCode Available	1
Autoregressive flow-based causal discovery and inference	Jul 18, 2020	Causal DiscoveryCausal 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