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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 451–500 of 1722 papers

TitleStatusHype
Causal Campbell-Goodhart's law and Reinforcement LearningCode0
One-Step Estimation of Differentiable Hilbert-Valued ParametersCode0
Bayesian Causal Inference with Gaussian Process NetworksCode0
On the Identifiability and Estimation of Causal Location-Scale Noise ModelsCode0
Counterfactual Prediction Under Selective ConfoundingCode0
Counterfactual Mean EmbeddingsCode0
Optimal Estimation of Generalized Average Treatment Effects using Kernel Optimal MatchingCode0
Optimal Transport for Counterfactual Estimation: A Method for Causal InferenceCode0
An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal EffectsCode0
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based TrainingCode0
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal InferenceCode0
Counterfactual FairnessCode0
Counterfactually Comparing Abstaining ClassifiersCode0
Deep Counterfactual Networks with Propensity-DropoutCode0
Bayesian Topic Regression for Causal InferenceCode0
Poincare: Recommending Publication Venues via Treatment Effect EstimationCode0
Causality-enhanced Decision-Making for Autonomous Mobile Robots in Dynamic EnvironmentsCode0
Do-calculus enables estimation of causal effects in partially observed biomolecular pathwaysCode0
Causality for Machine LearningCode0
Be Aware of the Neighborhood Effect: Modeling Selection Bias under InterferenceCode0
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language ModelsCode0
Counterfactual and Synthetic Control Method: Causal Inference with Instrumented Principal Component AnalysisCode0
Propensity Score Alignment of Unpaired Multimodal DataCode0
Propensity score models are better when post-calibratedCode0
Causality-oriented robustness: exploiting general noise interventionsCode0
Proximal Causal Inference With Text DataCode0
Estimation of Causal Effects in the Presence of Unobserved Confounding in the Alzheimer's ContinuumCode0
Quantile Causal DiscoveryCode0
Convolutional neural networks for valid and efficient causal inferenceCode0
Confounding Feature Acquisition for Causal Effect EstimationCode0
A Multi-level Neural Network for Implicit Causality Detection in Web TextsCode0
Causally Denoise Word Embeddings Using Half-Sibling RegressionCode0
Conditional Generative Models are Sufficient to Sample from Any Causal Effect EstimandCode0
CausalMed: Causality-Based Personalized Medication Recommendation Centered on Patient health stateCode0
Causally motivated Shortcut Removal Using Auxiliary LabelsCode0
Removing systematic errors for exoplanet search via latent causesCode0
Consistent Estimation of Propensity Score Functions with Oversampled Exposed SubjectsCode0
RNN-based counterfactual prediction, with an application to homestead policy and public schoolingCode0
Causal affect prediction model using a facial image sequenceCode0
Conditional Cross-Design Synthesis Estimators for Generalizability in MedicaidCode0
An Efficient Approach for Optimizing the Cost-effective Individualized Treatment Rule Using Conditional Random ForestCode0
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural CircuitsCode0
Combinatorial Causal BanditsCode0
COLD: Causal reasOning in cLosed Daily activitiesCode0
Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeastCode0
Choice Set Confounding in Discrete ChoiceCode0
Can We Validate Counterfactual Estimations in the Presence of General Network Interference?Code0
Can Transformers Do Enumerative Geometry?Code0
Peer-induced Fairness: A Causal Approach for Algorithmic Fairness AuditingCode0
Challenges of Using Text Classifiers for Causal InferenceCode0
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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