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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

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Showing 201–250 of 1722 papers

TitleStatusHype
Double Cross-fit Doubly Robust Estimators: Beyond Series RegressionCode0
Do-calculus enables estimation of causal effects in partially observed biomolecular pathwaysCode0
A Multi-level Neural Network for Implicit Causality Detection in Web TextsCode0
Benchmarking Framework for Performance-Evaluation of Causal Inference AnalysisCode0
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time SeriesCode0
Doubly Robust Inference on Causal Derivative Effects for Continuous TreatmentsCode0
Direct-Effect Risk Minimization for Domain GeneralizationCode0
Diffusion Model in Causal Inference with Unmeasured ConfoundersCode0
Discovering Ancestral Instrumental Variables for Causal Inference from Observational DataCode0
Detecting and Measuring Confounding Using Causal Mechanism ShiftsCode0
Deriving Causal Order from Single-Variable Interventions: Guarantees & AlgorithmCode0
Detecting clinician implicit biases in diagnoses using proximal causal inferenceCode0
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved ConfoundersCode0
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep LearningCode0
Deep End-to-end Causal InferenceCode0
Deep Learning-based Group Causal Inference in Multivariate Time-seriesCode0
An adaptive denoising recommendation algorithm for causal separation biasCode0
Causal Effect Identification in lvLiNGAM from Higher-Order CumulantsCode0
Deep Causal Inference for Point-referenced Spatial Data with Continuous TreatmentsCode0
Deep Counterfactual Networks with Propensity-DropoutCode0
Deep representation learning for individualized treatment effect estimation using electronic health recordsCode0
Doubly Robust Kernel Statistics for Testing Distributional Treatment EffectsCode0
DAG-aware Transformer for Causal Effect EstimationCode0
DecoR: Deconfounding Time Series with Robust RegressionCode0
Interpretable Almost Matching Exactly for Causal InferenceCode0
Bayesian Causal Inference with Gaussian Process NetworksCode0
BART: Bayesian additive regression treesCode0
A Causal Framework for Evaluating Deferring SystemsCode0
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal EffectsCode0
A Primer on Deep Learning for Causal InferenceCode0
Adapting Neural Networks for the Estimation of Treatment EffectsCode0
Bayesian Topic Regression for Causal InferenceCode0
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based TrainingCode0
Be Aware of the Neighborhood Effect: Modeling Selection Bias under InterferenceCode0
Detecting hidden confounding in observational data using multiple environmentsCode0
Covariate balancing using the integral probability metric for causal inferenceCode0
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal InferenceCode0
Dirac Delta Regression: Conditional Density Estimation with Clinical TrialsCode0
Debiased Bayesian inference for average treatment effectsCode0
Automatic doubly robust inference for linear functionals via calibrated debiased machine learningCode0
Ancestral Causal InferenceCode0
Counterfactually Comparing Abstaining ClassifiersCode0
Adaptive Nonparametric Perturbations of Parametric Bayesian ModelsCode0
Do large language models and humans have similar behaviors in causal inference with script knowledge?Code0
An Efficient Approach for Optimizing the Cost-effective Individualized Treatment Rule Using Conditional Random ForestCode0
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional DistributionsCode0
Algebraic and Statistical Properties of the Ordinary Least Squares InterpolatorCode0
Causal hybrid modeling with double machine learningCode0
Counterfactual Mean EmbeddingsCode0
Counterfactual FairnessCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Random ForestAverage Treatment Effect Error0.96—Unverified
2Balancing Linear RegressionAverage Treatment Effect Error0.93—Unverified
3k-NNAverage Treatment Effect Error0.79—Unverified
4CEVAEAverage Treatment Effect Error0.46—Unverified
5Balancing Neural NetworkAverage Treatment Effect Error0.42—Unverified
6Causal ForestAverage Treatment Effect Error0.4—Unverified
7BCAUS DRAverage Treatment Effect Error0.29—Unverified
8TARNetAverage Treatment Effect Error0.28—Unverified
9Counterfactual Regression + WASSAverage Treatment Effect Error0.27—Unverified
10MTDL-KNNAverage Treatment Effect Error0.23—Unverified
#ModelMetricClaimedVerifiedStatus
1CFR WASSAverage Treatment Effect on the Treated Error0.09—Unverified
2CFR MMDAverage Treatment Effect on the Treated Error0.08—Unverified
3BARTAverage Treatment Effect on the Treated Error0.08—Unverified
4GANITEAverage Treatment Effect on the Treated Error0.06—Unverified
5BCAUSSAverage Treatment Effect on the Treated Error0.05—Unverified
#ModelMetricClaimedVerifiedStatus
1BARTAverage Treatment Effect Error0.34—Unverified
2OLS with separate regressors for each treatmentAverage Treatment Effect Error0.31—Unverified
3Average Treatment Effect Error-0.23—Unverified