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 901–925 of 1722 papers

Title	Date	Tasks	Status	Hype
DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation	Jul 19, 2022	Causal InferenceMulti-Task Learning	CodeCode Available	1
CA-SpaceNet: Counterfactual Analysis for 6D Pose Estimation in Space	Jul 16, 2022	6D Pose EstimationCausal Inference	CodeCode Available	1
Functional Generalized Empirical Likelihood Estimation for Conditional Moment Restrictions	Jul 11, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	0
On the Representation of Causal Background Knowledge and its Applications in Causal Inference	Jul 10, 2022	Causal Inference	—Unverified	0
On the Need and Applicability of Causality for Fairness: A Unified Framework for AI Auditing and Legal Analysis	Jul 8, 2022	BIG-bench Machine LearningCausal Inference	—Unverified	0
On The Universality of Diagrams for Causal Inference and The Causal Reproducing Property	Jul 6, 2022	Causal InferenceLEMMA	—Unverified	0
The Short-term Impact of Congestion Taxes on Ridesourcing Demand and Traffic Congestion: Evidence from Chicago	Jul 5, 2022	Causal Inferenceregression	—Unverified	0
A Causal Approach for Business Optimization: Application on an Online Marketplace	Jul 4, 2022	Causal Inference	—Unverified	0
Breaking Feedback Loops in Recommender Systems with Causal Inference	Jul 4, 2022	Causal InferenceRecommendation Systems	—Unverified	0
Non-Parametric Inference of Relational Dependence	Jun 30, 2022	Causal Inference	CodeCode Available	0
Treatment Effect Estimation with Observational Network Data using Machine Learning	Jun 29, 2022	Causal Inference	CodeCode Available	0
Instrumented Common Confounding	Jun 26, 2022	Causal Inference	—Unverified	0
The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects	Jun 25, 2022	Causal InferenceDecision Making	—Unverified	0
Intelligent Request Strategy Design in Recommender System	Jun 23, 2022	Causal Inferencecounterfactual	—Unverified	0
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization	Jun 22, 2022	Causal Inferenceobject-detection	CodeCode Available	1
Measuring the Effect of Training Data on Deep Learning Predictions via Randomized Experiments	Jun 20, 2022	Causal Inference	CodeCode Available	0
Causal Inference with Treatment Measurement Error: A Nonparametric Instrumental Variable Approach	Jun 18, 2022	Causal Inference	—Unverified	0
Embodied Scene-aware Human Pose Estimation	Jun 18, 2022	3D Human Pose EstimationCausal Inference	—Unverified	0
Reframed GES with a Neural Conditional Dependence Measure	Jun 17, 2022	Causal DiscoveryCausal Inference	CodeCode Available	0
Combinatorial Pure Exploration of Causal Bandits	Jun 16, 2022	Causal InferenceMulti-Armed Bandits	—Unverified	0
Towards Understanding How Machines Can Learn Causal Overhypotheses	Jun 16, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	1
Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations	Jun 16, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Large-Scale Differentiable Causal Discovery of Factor Graphs	Jun 15, 2022	Causal DiscoveryCausal Inference	CodeCode Available	1
Interpretable Gait Recognition by Granger Causality	Jun 14, 2022	Causal InferenceGait Recognition	—Unverified	0
DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models	Jun 14, 2022	Causal Inference	CodeCode Available	5

Show:10 25 50

← PrevPage 37 of 69Next →

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