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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1401–1450 of 1722 papers

TitleStatusHype
Targeting customers under response-dependent costsCode0
Invariant Causal Prediction for Block MDPsCode1
Towards Clarifying the Theory of the Deconfounder—0
Deconfounded Image Captioning: A Causal Retrospect—0
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference—0
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved ConfoundingCode1
Unbiased Scene Graph Generation from Biased TrainingCode2
CausalML: Python Package for Causal Machine LearningCode3
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning—0
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable ModelsCode0
Causal Inference With Selectively Deconfounded Data—0
Causal Inference under Networked Interference and Intervention Policy Enhancement—0
Causality in cognitive neuroscience: concepts, challenges, and distributional robustness—0
On Geometry of Information Flow for Causal Inference—0
A Survey on Causal InferenceCode0
Variable-lag Granger Causality and Transfer Entropy for Time Series AnalysisCode1
Distributional synthetic controls—0
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision—0
Inferring Individual Level Causal Models from Graph-based Relational Time Series—0
The Counterfactual χ-GAN—0
Quantile Causal DiscoveryCode0
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and BeyondCode0
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data—0
Causal Inference and Data Fusion in Econometrics—0
Variable-lag Granger Causality for Time Series AnalysisCode1
Network Data—0
More Efficient Off-Policy Evaluation through Regularized Targeted Learning—0
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population—0
Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links—0
Deep representation learning for individualized treatment effect estimation using electronic health recordsCode0
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural CircuitsCode0
Variance Reduction in Bipartite Experiments through Correlation Clustering—0
Perceiving the arrow of time in autoregressive motion—0
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework—0
A Causal Inference Method for Reducing Gender Bias in Word Embedding RelationsCode0
Algorithmic Bias in Recidivism Prediction: A Causal Perspective—0
Causally Denoise Word Embeddings Using Half-Sibling RegressionCode0
Causality for Machine LearningCode0
Causal Inference Under Approximate Neighborhood Interference—0
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series—0
Bayesian nonparametric discontinuity designCode0
Selective machine learning of doubly robust functionals—0
Causal Inference via Conditional Kolmogorov Complexity using MDL Binning—0
Bayesian causal inference via probabilistic program synthesis—0
Causal inference for climate change events from satellite image time series using computer vision and deep learning—0
Strategic Classification is Causal Modeling in Disguise—0
Leveraging directed causal discovery to detect latent common causes—0
Testability of instrument validity under continuous endogenous variables—0
Causal bootstrapping—0
Targeted Estimation of Heterogeneous Treatment Effect in Observational Survival AnalysisCode0
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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