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 101–125 of 1722 papers

Title	Date	Tasks	Status	Hype
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling	Nov 19, 2021	Causal InferencePrediction	CodeCode Available	1
A Counterfactual Collaborative Session-based Recommender System	Jan 31, 2023	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
Deep Counterfactual Estimation with Categorical Background Variables	Oct 11, 2022	Causal Inferencecounterfactual	CodeCode Available	1
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation	Jul 19, 2022	Causal InferenceMulti-Task Learning	CodeCode Available	1
DiffPO: A causal diffusion model for learning distributions of potential outcomes	Oct 11, 2024	Causal InferenceDecision Making	CodeCode Available	1
Causal Counterfactuals for Improving the Robustness of Reinforcement Learning	Nov 2, 2022	Causal Inferencereinforcement-learning	CodeCode Available	1
Distilling Causal Effect from Miscellaneous Other-Class for Continual Named Entity Recognition	Oct 8, 2022	Causal InferenceContinual Learning	CodeCode Available	1
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space	Jul 16, 2022	6D Pose EstimationCausal Inference	CodeCode Available	1
Can Large Language Models Infer Causation from Correlation?	Jun 9, 2023	Causal Inference	CodeCode Available	1
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches	Apr 15, 2020	Bayesian InferenceCausal Inference	CodeCode Available	1
Eliciting Causal Abilities in Large Language Models for Reasoning Tasks	Dec 19, 2024	Causal Inference	CodeCode Available	1
Active Bayesian Causal Inference	Jun 4, 2022	Active LearningCausal Discovery	CodeCode Available	1
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic	Sep 23, 2023	Causal Inference	CodeCode Available	1
Estimating Multi-cause Treatment Effects via Single-cause Perturbation	Dec 1, 2021	Causal Inferencevalid	CodeCode Available	1
Estimating the Causal Effect of Early ArXiving on Paper Acceptance	Jun 24, 2023	Causal Inference	CodeCode Available	1
Everything Has a Cause: Leveraging Causal Inference in Legal Text Analysis	Apr 19, 2021	Causal Inference	CodeCode Available	1
Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery	Dec 18, 2024	Causal DiscoveryCausal Inference	CodeCode Available	1
Causal Autoregressive Flows	Nov 4, 2020	Causal DiscoveryCausal Inference	CodeCode Available	1
Causal Effect Inference with Deep Latent-Variable Models	May 24, 2017	Causal Inference	CodeCode Available	1
General targeted machine learning for modern causal mediation analysis	Aug 26, 2024	Causal Inference	CodeCode Available	1
Granger causal inference on DAGs identifies genomic loci regulating transcription	Oct 18, 2022	Causal Inference	CodeCode Available	1
Hybrid Neural Networks for On-device Directional Hearing	Dec 11, 2021	Audio Source SeparationCausal Inference	CodeCode Available	1
Inference and Denoise: Causal Inference-based Neural Speech Enhancement	Nov 2, 2022	Causal InferenceSpeech Enhancement	CodeCode Available	1
Automatic Detection of Influential Actors in Disinformation Networks	May 21, 2020	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