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 1151–1175 of 1722 papers

Title	Date	Tasks	Status	Hype
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation	Jul 27, 2021	Causal Inference	—Unverified	0
Towards Unbiased Visual Emotion Recognition via Causal Intervention	Jul 26, 2021	Causal InferenceEmotion Recognition	CodeCode Available	1
Federated Causal Inference in Heterogeneous Observational Data	Jul 25, 2021	Causal Inference	CodeCode Available	0
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision	Jul 21, 2021	Causal Inference	—Unverified	0
Causal Inference Struggles with Agency on Online Platforms	Jul 19, 2021	Causal Inference	—Unverified	0
A Topological Perspective on Causal Inference	Jul 18, 2021	Causal Inferencevalid	—Unverified	0
Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition	Jul 13, 2021	Causal Inferencecounterfactual	CodeCode Available	1
Using Causal Analysis for Conceptual Deep Learning Explanation	Jul 10, 2021	Causal InferenceClinical Knowledge	CodeCode Available	0
Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls	Jul 10, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
Algorithmic Causal Effect Identification with causaleffect	Jul 9, 2021	Causal Inference	CodeCode Available	1
Crowd Sensing and Living Lab Outdoor Experimentation Made Easy	Jul 8, 2021	Causal Inference	—Unverified	0
Causal affect prediction model using a facial image sequence	Jul 8, 2021	Causal InferenceFacial Expression Recognition	CodeCode Available	0
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation	Jul 6, 2021	Causal Inferencecounterfactual	CodeCode Available	0
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy	Jul 6, 2021	Causal InferenceMatrix Completion	—Unverified	0
Spatiotemporal information conversion machine for time-series prediction	Jul 3, 2021	Causal InferencePrediction	CodeCode Available	1
The Causal-Neural Connection: Expressiveness, Learnability, and Inference	Jul 2, 2021	Causal IdentificationCausal Inference	CodeCode Available	1
Causal Reinforcement Learning using Observational and Interventional Data	Jun 28, 2021	Causal InferenceModel-based Reinforcement Learning	CodeCode Available	1
DROID: Driver-centric Risk Object Identification	Jun 24, 2021	Causal InferenceObject	—Unverified	0
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge	Jun 22, 2021	Causal InferenceRepresentation Learning	CodeCode Available	0
Robust and Heterogenous Odds Ratio: Estimating Price Sensitivity for Unbought Items	Jun 21, 2021	Causal InferenceImputation	—Unverified	0
Interventional Video Grounding with Dual Contrastive Learning	Jun 21, 2021	Causal InferenceContrastive Learning	CodeCode Available	0
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift	Jun 21, 2021	Causal InferenceDensity Estimation	—Unverified	0
Experimentally testable whole brain manifolds that recapitulate behavior	Jun 20, 2021	Causal InferenceTime Series	—Unverified	0
Machine learning in the social and health sciences	Jun 20, 2021	BIG-bench Machine LearningCausal Inference	—Unverified	0
CausalNLP: A Practical Toolkit for Causal Inference with Text	Jun 15, 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