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 15511600 of 1722 papers

TitleStatusHype
Learning Optimal Fair Policies0
Understanding Perceptual and Conceptual Fluency at a Large Scale0
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors0
Transfer Learning for Estimating Causal Effects using Neural Networks0
Discovering Context Specific Causal Relationships0
The Deconfounded Recommender: A Causal Inference Approach to Recommendation0
Effect of secular trend in drug effectiveness study in real world data0
Extrapolating Treatment Effects in Multi-Cutoff Regression Discontinuity DesignsCode0
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms0
Local Linear ForestsCode0
Applications of Common Entropy for Causal Inference0
Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception0
Cause-Effect Deep Information Bottleneck For Systematically Missing Covariates0
Causal Inference for Early Detection of Pathogenic Social Media Accounts0
Simplifying Probabilistic Expressions in Causal Inference0
Surrogate Outcomes and TransportabilityCode0
Interpretable Almost Matching Exactly for Causal InferenceCode0
Orthogonal Random Forest for Causal Inference0
Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary NoiseCode0
Causal Inference with Noisy and Missing Covariates via Matrix FactorizationCode0
Too Fast Causal Inference under Causal Insufficiency0
Confounding-Robust Policy Improvement0
Counterfactual Mean EmbeddingsCode0
Multiple Causal Inference with Latent Confounding0
Super learning in the SAS system0
Consistent Estimation of Propensity Score Functions with Oversampled Exposed SubjectsCode0
The Blessings of Multiple CausesCode0
Machine Learning for Public Administration Research, with Application to Organizational Reputation0
Bivariate Causal Discovery and its Applications to Gene Expression and Imaging Data Analysis0
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection BiasCode1
Causal programming: inference with structural causal models as finding instances of a relation0
Data science is science's second chance to get causal inference right: A classification of data science tasks0
Causal Inference via Kernel Deviance Measures0
AFA-PredNet: The action modulation within predictive coding0
Computer-Assisted Text Analysis for Social Science: Topic Models and Beyond0
Causal Inference for Survival Analysis0
Causal Inference on Discrete Data via Estimating Distance Correlations0
Adversarial Generalized Method of MomentsCode0
Deep Learning for Causal Inference0
A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection0
Learning Weighted Representations for Generalization Across Designs0
Analysis of cause-effect inference by comparing regression errors0
Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration0
DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training0
Benchmarking Framework for Performance-Evaluation of Causal Inference AnalysisCode0
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees0
Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal DiscoveryCode0
Causal Inference in Disease Spread across a Heterogeneous Social System0
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal RevolutionCode0
Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match QualityCode0
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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