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 701–750 of 1722 papers

TitleStatusHype
Differentially Private Covariate Balancing Causal Inference—0
Differentially Private Joint Independence Test—0
A Novel Two-level Causal Inference Framework for On-road Vehicle Quality Issues Diagnosis—0
Differentially Private Synthetic Control—0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors—0
Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavements—0
A Novel Method to Metigate Demographic and Expert Bias in ICD Coding with Causal Inference—0
A step towards the applicability of algorithms based on invariant causal learning on observational data—0
Directed Acyclic Graph Convolutional Networks—0
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling—0
Compositional Models for Estimating Causal Effects—0
Discovering Context Specific Causal Relationships—0
Disentangled Latent Representation Learning for Tackling the Confounding M-Bias Problem in Causal Inference—0
Disentangled Representation Learning for Causal Inference with Instruments—0
Causal Inference by Stochastic Complexity—0
Complementary Advantages of ChatGPTs and Human Readers in Reasoning: Evidence from English Text Reading Comprehension—0
On the Opportunity of Causal Learning in Recommendation Systems: Foundation, Estimation, Prediction and Challenges—0
Causal Inference of General Treatment Effects using Neural Networks with A Diverging Number of Confounders—0
Causal Analysis and Classification of Traffic Crash Injury Severity Using Machine Learning Algorithms—0
Distinguishing cause from effect using observational data: methods and benchmarks—0
Distributionally Robust Causal Inference with Observational Data—0
Robust Multi-instance Learning with Stable Instances—0
Comparing Causal Frameworks: Potential Outcomes, Structural Models, Graphs, and Abstractions—0
Omitted Labels Induce Nontransitive Paradoxes in Causality—0
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference—0
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors—0
Does Financial Literacy Impact Investment Participation and Retirement Planning in Japan?—0
Causal inference for climate change events from satellite image time series using computer vision and deep learning—0
Causal inference for data-driven debugging and decision making in cloud computing—0
Do LLMs Act as Repositories of Causal Knowledge?—0
Causal Inference for Early Detection of Pathogenic Social Media Accounts—0
Domain Adaptable Prescriptive AI Agent for Enterprise—0
Causal Inference for Event Pairs in Multivariate Point Processes—0
Don't (fully) exclude me, it's not necessary! Causal inference with semi-IVs—0
Comment on "Blessings of Multiple Causes"—0
A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection—0
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision—0
Double Machine Learning for Adaptive Causal Representation in High-Dimensional Data—0
A novel approach to the relationships between data features -- based on comprehensive examination of mathematical, technological, and causal methodology—0
Fast Restricted Causal Inference—0
Double Machine Learning for Conditional Moment Restrictions: IV Regression, Proximal Causal Learning and Beyond—0
A Causal Lens for Controllable Text Generation—0
Efficient estimation of weighted cumulative treatment effects by double/debiased machine learning—0
DoubleMLDeep: Estimation of Causal Effects with Multimodal Data—0
Causal Inference for Recommendation: Foundations, Methods and Applications—0
Federated Causal Inference from Multi-Site Observational Data via Propensity Score Aggregation—0
Embodied Scene-aware Human Pose Estimation—0
Online Multi-Armed Bandits with Adaptive Inference—0
Combining Experimental and Observational Data for Identification and Estimation of Long-Term Causal Effects—0
CATE Lasso: Conditional Average Treatment Effect Estimation with High-Dimensional Linear Regression—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