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 1201–1225 of 1722 papers

Title	Date	Tasks	Status
Wildfire smoke plume segmentation using geostationary satellite imagery	Sep 3, 2021	Causal Inference	—Unverified
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond	Sep 2, 2021	Causal InferenceFairness	—Unverified
Top-N Recommendation with Counterfactual User Preference Simulation	Sep 2, 2021	Causal Inferencecounterfactual	—Unverified
Transport-based Counterfactual Models	Aug 30, 2021	Causal Inferencecounterfactual	CodeCode Available
The Effect of Noise Level on Causal Identification with Additive Noise Models	Aug 24, 2021	Causal DiscoveryCausal Identification	CodeCode Available
Regression Discontinuity Designs	Aug 20, 2021	Causal Inferenceregression	—Unverified
The Proximal ID Algorithm	Aug 15, 2021	Causal Inferencevalid	—Unverified
Learning Causal Models from Conditional Moment Restrictions by Importance Weighting	Aug 3, 2021	Causal Inference	—Unverified
Causal Inference in Educational Systems: A Graphical Modeling Approach	Aug 2, 2021	Causal Inference	—Unverified
Reducing Length Bias in Scoring Neural Machine Translation via a Causal Inference Method	Aug 1, 2021	Causal InferenceMachine Translation	—Unverified
End-to-End Balancing for Causal Continuous Treatment-Effect Estimation	Jul 27, 2021	Causal Inference	—Unverified
Federated Causal Inference in Heterogeneous Observational Data	Jul 25, 2021	Causal Inference	CodeCode Available
CausalBERT: Injecting Causal Knowledge Into Pre-trained Models with Minimal Supervision	Jul 21, 2021	Causal Inference	—Unverified
Causal Inference Struggles with Agency on Online Platforms	Jul 19, 2021	Causal Inference	—Unverified
A Topological Perspective on Causal Inference	Jul 18, 2021	Causal Inferencevalid	—Unverified
Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls	Jul 10, 2021	BIG-bench Machine LearningCausal Inference	—Unverified
Using Causal Analysis for Conceptual Deep Learning Explanation	Jul 10, 2021	Causal InferenceClinical Knowledge	CodeCode Available
Causal affect prediction model using a facial image sequence	Jul 8, 2021	Causal InferenceFacial Expression Recognition	CodeCode Available
Crowd Sensing and Living Lab Outdoor Experimentation Made Easy	Jul 8, 2021	Causal Inference	—Unverified
CausalRec: Causal Inference for Visual Debiasing in Visually-Aware Recommendation	Jul 6, 2021	Causal Inferencecounterfactual	CodeCode Available
Causal Inference with Corrupted Data: Measurement Error, Missing Values, Discretization, and Differential Privacy	Jul 6, 2021	Causal InferenceMatrix Completion	—Unverified
DROID: Driver-centric Risk Object Identification	Jun 24, 2021	Causal InferenceObject	—Unverified
Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge	Jun 22, 2021	Causal InferenceRepresentation Learning	CodeCode Available
Stratified Learning: A General-Purpose Statistical Method for Improved Learning under Covariate Shift	Jun 21, 2021	Causal InferenceDensity Estimation	—Unverified
Interventional Video Grounding with Dual Contrastive Learning	Jun 21, 2021	Causal InferenceContrastive Learning	CodeCode Available

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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