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 801850 of 1722 papers

TitleStatusHype
Doubly Robust Kernel Statistics for Testing Distributional Treatment EffectsCode0
CausalEGM: a general causal inference framework by encoding generative modelingCode1
On Root Cause Localization and Anomaly Mitigation through Causal InferenceCode1
Neighborhood Adaptive Estimators for Causal Inference under Network Interference0
Causal Inference via Style Transfer for Out-of-distribution GeneralisationCode1
Short-term shock, long-lasting payment: Evidence from the Lushan Earthquake0
Evaluating Digital Agriculture Recommendations with Causal Inference0
Logic and Commonsense-Guided Temporal Knowledge Graph CompletionCode0
Causal Inference with Conditional Instruments using Deep Generative Models0
Causal Deep Reinforcement Learning Using Observational Data0
Antibiotic-dependent instability of homeostatic plasticity for growth and environmental load0
Direct-Effect Risk Minimization for Domain GeneralizationCode0
Causal Fairness Assessment of Treatment Allocation with Electronic Health Records0
Applications of statistical causal inference in software engineering0
Explainable Artificial Intelligence and Causal Inference based ATM Fraud Detection0
On the Role of the Zero Conditional Mean Assumption for Causal Inference in Linear Models0
Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders0
Weighted Sum-Rate Maximization With Causal Inference for Latent Interference EstimationCode0
Graph Neural Networks for Causal Inference Under Network Confounding0
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent SpaceCode0
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation0
Deep Causal Learning: Representation, Discovery and Inference0
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference0
Empirical Analysis of Model Selection for Heterogeneous Causal Effect EstimationCode1
A Bayesian Semiparametric Method For Estimating Causal Quantile Effects0
Causal Counterfactuals for Improving the Robustness of Reinforcement LearningCode1
Propensity score models are better when post-calibratedCode0
Inference and Denoise: Causal Inference-based Neural Speech EnhancementCode1
CausalBench: A Large-scale Benchmark for Network Inference from Single-cell Perturbation DataCode1
Formalizing Statistical Causality via Modal Logic0
Causal DAG extraction from a library of books or videos/movies0
Spectral Representation Learning for Conditional Moment Models0
A Survey on Causal Representation Learning and Future Work for Medical Image AnalysisCode0
Sample-Specific Root Causal Inference with Latent Variables0
Dynamic Survival Transformers for Causal Inference with Electronic Health Records0
Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network0
LMPriors: Pre-Trained Language Models as Task-Specific Priors0
Causally-guided Regularization of Graph Attention Improves Generalizability0
Granger causal inference on DAGs identifies genomic loci regulating transcriptionCode1
Vision Paper: Causal Inference for Interpretable and Robust Machine Learning in Mobility Analysis0
A Mixing Time Lower Bound for a Simplified Version of BART0
Distributionally Robust Causal Inference with Observational Data0
Fair Effect Attribution in Parallel Online Experiments0
On the Identifiability and Estimation of Causal Location-Scale Noise ModelsCode0
Developing a general-purpose clinical language inference model from a large corpus of clinical notes0
Sample Constrained Treatment Effect EstimationCode0
Deep Counterfactual Estimation with Categorical Background VariablesCode1
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved ConfoundersCode0
Causal and Counterfactual Views of Missing Data Models0
DeepMed: Semiparametric Causal Mediation Analysis with Debiased Deep LearningCode0
Show:102550
← PrevPage 17 of 35Next →

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