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

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Showing 1401–1450 of 1722 papers

TitleStatusHype
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time SeriesCode0
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks—0
Causal Modeling with Stochastic Confounders—0
Machine learning for causal inference: on the use of cross-fit estimatorsCode0
Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects—0
Causal Inference under Outcome-Based Sampling with Monotonicity AssumptionsCode0
Ivy: Instrumental Variable Synthesis for Causal Inference—0
A category theoretical argument for causal inference—0
Causal Relational Learning—0
Identification Methods With Arbitrary Interventional Distributions as Inputs—0
Causal Inference of Script Knowledge—0
Quantifying the Economic Impact of Extreme Shocks on Businesses using Human Mobility Data: a Bayesian Causal Inference Approach—0
ParKCa: Causal Inference with Partially Known CausesCode0
Interpretable Personalization via Policy Learning with Linear Decision Boundaries—0
Targeting customers under response-dependent costsCode0
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
Causal Inference With Selectively Deconfounded Data—0
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 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
Distributional synthetic controls—0
Inferring Individual Level Causal Models from Graph-based Relational Time Series—0
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision—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
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
Variance Reduction in Bipartite Experiments through Correlation Clustering—0
Deep representation learning for individualized treatment effect estimation using electronic health recordsCode0
Perceiving the arrow of time in autoregressive motion—0
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural CircuitsCode0
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework—0
A Causal Inference Method for Reducing Gender Bias in Word Embedding RelationsCode0
Causality for Machine LearningCode0
Causally Denoise Word Embeddings Using Half-Sibling RegressionCode0
Algorithmic Bias in Recidivism Prediction: A Causal Perspective—0
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series—0
Causal Inference Under Approximate Neighborhood Interference—0
Bayesian nonparametric discontinuity designCode0
Selective machine learning of doubly robust functionals—0
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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