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
Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization	Jun 22, 2022	Causal Inferenceobject-detection	CodeCode Available	1
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
Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition	Jun 13, 2022	Causal InferenceFault Diagnosis	CodeCode Available	1
Estimating Causal Effects Under Image Confounding Bias with an Application to Poverty in Africa	Jun 13, 2022	Causal Inference	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
SoK: Blockchain Decentralization	May 9, 2022	Causal InferenceDescriptive	CodeCode Available	1
DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation	May 6, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	1
Statistical Perspective on Functional and Causal Neural Connectomics: The Time-Aware PC Algorithm	Apr 11, 2022	Causal Inferencecounterfactual	CodeCode Available	1
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System	Apr 4, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning	Feb 17, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records	Feb 7, 2022	Causal InferenceDecision Making	CodeCode Available	1
ROCK: Causal Inference Principles for Reasoning about Commonsense Causality	Jan 31, 2022	Causal Inference	CodeCode Available	1
Unicorn: Reasoning about Configurable System Performance through the lens of Causality	Jan 20, 2022	BIG-bench Machine LearningCausal Inference	CodeCode Available	1
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation	Jan 5, 2022	Causal Inference	CodeCode Available	1
Show, Deconfound and Tell: Image Captioning With Causal Inference	Jan 1, 2022	Causal InferenceDecoder	CodeCode Available	1
Contextual Debiasing for Visual Recognition With Causal Mechanisms	Jan 1, 2022	Causal Inferencecounterfactual	CodeCode Available	1
Long Story Short: Omitted Variable Bias in Causal Machine Learning	Dec 26, 2021	BIG-bench Machine LearningCausal Inference	CodeCode Available	1
Hybrid Neural Networks for On-device Directional Hearing	Dec 11, 2021	Audio Source SeparationCausal Inference	CodeCode Available	1
Causal Knowledge Guided Societal Event Forecasting	Dec 10, 2021	Causal Inference	CodeCode Available	1
Estimating Multi-cause Treatment Effects via Single-cause Perturbation	Dec 1, 2021	Causal Inferencevalid	CodeCode Available	1
Comprehensive Knowledge Distillation with Causal Intervention	Dec 1, 2021	Causal InferenceKnowledge Distillation	CodeCode Available	1
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs	Nov 20, 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