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 351–400 of 1722 papers

TitleStatusHype
Assimilative Causal Inference—0
Causal inference approach to appraise long-term effects of maintenance policy on functional performance of asphalt pavements—0
Causal Graph Aided Causal Discovery in an Observational Aneurysmal Subarachnoid Hemorrhage Study—0
Causal Inference Based Single-branch Ensemble Trees For Uplift Modeling—0
Causal GNNs: A GNN-Driven Instrumental Variable Approach for Causal Inference in Networks—0
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components—0
Causal Inference by Stochastic Complexity—0
Causal Inference by String Diagram Surgery—0
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward—0
Causal Inference (C-inf) -- closed form worst case typical phase transitions—0
Causal Forecasting for Pricing—0
Causal Post-Processing of Predictive Models—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
Causal Inference for Early Detection of Pathogenic Social Media Accounts—0
Causal Inference for Event Pairs in Multivariate Point Processes—0
Artificial Intelligence for Personalized Prediction of Alzheimer's Disease Progression: A Survey of Methods, Data Challenges, and Future Directions—0
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes—0
A fast PC algorithm for high dimensional causal discovery with multi-core PCs—0
A Compositional Atlas for Algebraic Circuits—0
Causal Feature Selection with Dimension Reduction for Interpretable Text Classification—0
Causal Inference for Recommendation: Foundations, Methods and Applications—0
Artificial Intelligence and Aesthetic Judgment—0
Causal Inference for Survival Analysis—0
Causal inference with Bayes rule—0
Causal Inference for Time series Analysis: Problems, Methods and Evaluation—0
Causal Inference from Slowly Varying Nonstationary Processes—0
Causal Inference from Small High-dimensional Datasets—0
A scoping review of causal methods enabling predictions under hypothetical interventions—0
A General Causal Inference Framework for Cross-Sectional Observational Data—0
Causal Inference in Disease Spread across a Heterogeneous Social System—0
Causal inference in drug discovery and development—0
A robust kernel machine regression towards biomarker selection in multi-omics datasets of osteoporosis for drug discovery—0
Causal Inference in Finance: An Expertise-Driven Model for Instrument Variables Identification and Interpretation—0
Causal Inference in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems—0
Causal Inference in Geoscience and Remote Sensing from Observational Data—0
Causal Inference in Geosciences with Kernel Sensitivity Maps—0
Causal Inference in Natural Language Processing: Estimation, Prediction, Interpretation and Beyond—0
Causal Inference in Network Economics—0
Causal inference in network experiments: regression-based analysis and design-based properties—0
Accurate Use of Label Dependency in Multi-Label Text Classification Through the Lens of Causality—0
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality—0
Causal Inference in Observational Data—0
Attribution Projection Calculus: A Novel Framework for Causal Inference in Bayesian Networks—0
Causal Inference with Complex Treatments: A Survey—0
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder—0
Causal Inference in the Presence of Interference in Sponsored Search Advertising—0
Causal Inference, is just Inference: A beautifully simple idea that not everyone accepts—0
Causal Inference Isn't Special: Why It's Just Another Prediction Problem—0
Causal Inference with Deep Causal Graphs—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