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 15011550 of 1722 papers

TitleStatusHype
Stability of Linear Structural Equation Models of Causal Inference0
An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter0
Learning Information Propagation in the Dynamical Systems via Information Bottleneck Hierarchy0
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational DataCode0
Beauty Learning and Counterfactual Inference0
A unifying approach for doubly-robust _1 regularized estimation of causal contrasts0
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems0
Machine Learning Methods Economists Should Know About0
Size of Interventional Markov Equivalence Classes in Random DAG Models0
Machine learning in policy evaluation: new tools for causal inferenceCode0
On Robustness of Principal Component Regression0
On Multi-Cause Causal Inference with Unobserved Confounding: Counterexamples, Impossibility, and Alternatives0
Classifying Treatment Responders Under Causal Effect Monotonicity0
Robust Multi-instance Learning with Stable Instances0
Weighted Tensor Completion for Time-Series Causal InferenceCode0
Using Embeddings to Correct for Unobserved Confounding in NetworksCode1
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural NetworksCode0
Fair Decisions Despite Imperfect PredictionsCode0
On L_2-consistency of nearest neighbor matching0
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach0
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden ConfoundersCode0
Causal Discovery with a Mixture of DAGs0
Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data0
Shared Causal Paths underlying Alzheimer's dementia and Type 2 Diabetes0
Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good ModelsCode0
Estimating Buildings' Parameters over Time Including Prior KnowledgeCode0
A Bayesian Model for Bivariate Causal Inference0
Whittemore: An embedded domain specific language for causal programmingCode0
Balanced Linear Contextual Bandits0
What is the Effect of Importance Weighting in Deep Learning?Code0
Identifying the Effect of PersuasionCode0
Identification and Estimation of Causal Effects from Dependent Data0
Representation Learning for Treatment Effect Estimation from Observational DataCode0
Explainable Genetic Inheritance Pattern Prediction0
Estimating Causal Effects With Partial Covariates For Clinical Interpretability0
Causal Inference by String Diagram Surgery0
MALTS: Matching After Learning to Stretch0
Explaining Deep Learning Models using Causal Inference0
Connecting the Dots: Identifying Network Structure via Graph Signal Processing0
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality0
Learning stable and predictive structures in kinetic systems: Benefits of a causal approach0
Removing Hidden Confounding by Experimental Grounding0
Adversarial Balancing for Causal InferenceCode0
Contextual Multi-Armed Bandits for Causal Marketing0
Challenges of Using Text Classifiers for Causal InferenceCode0
Early Identification of Pathogenic Social Media Accounts0
Evaluating Fairness Metrics in the Presence of Dataset Bias0
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise ModelsCode0
Efficient Counterfactual Learning from Bandit Feedback0
A Primer on Causality in Data Science0
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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