SOTAVerified

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

Showing 476500 of 1722 papers

TitleStatusHype
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
Show:102550
← PrevPage 20 of 69Next →

Benchmark Results

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