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 16511700 of 1722 papers

TitleStatusHype
Sensitivity Maps of the Hilbert-Schmidt Independence Criterion0
Limits to causal inference with state-space reconstruction for infectious disease0
ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data0
The Inflation Technique for Causal Inference with Latent Variables0
Identifying Causal Relations Using Parallel Wikipedia Articles0
Double/Debiased Machine Learning for Treatment and Causal ParametersCode1
Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Contrast Set Mining0
From Dependence to Causation0
Retrospective Causal Inference with Machine Learning Ensembles: An Application to Anti-Recidivism Policies in Colombia0
Ancestral Causal InferenceCode0
The Crossover Process: Learnability and Data Protection from Inference Attacks0
Estimating individual treatment effect: generalization bounds and algorithmsCode1
Causal Bandits: Learning Good Interventions via Causal Inference0
Learning Representations for Counterfactual InferenceCode0
Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging dataCode0
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index0
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies0
Causal inference for data-driven debugging and decision making in cloud computing0
Recommendations as Treatments: Debiasing Learning and Evaluation0
Private Causal Inference0
Causal and anti-causal learning in pattern recognition for neuroimaging0
MERLiN: Mixture Effect Recovery in Linear NetworksCode0
Emoticons vs. Emojis on Twitter: A Causal Inference Approach0
Causal Model Analysis using Collider v-structure with Negative Percentage Mapping0
Markov Boundary Discovery with Ridge Regularized Linear Models0
Sampling-based Causal Inference in Cue Combination and its Neural Implementation0
Real-time Top-K Predictive Query Processing over Event Streams0
Causal Decision Trees0
Learning from Pairwise Marginal Independencies0
Causal inference via algebraic geometry: feasibility tests for functional causal structures with two binary observed variables0
Removing systematic errors for exoplanet search via latent causesCode0
Distinguishing Cause from Effect Based on Exogeneity0
Telling cause from effect in deterministic linear dynamical systems0
Towards a Learning Theory of Cause-Effect InferenceCode0
A fast PC algorithm for high dimensional causal discovery with multi-core PCs0
Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations0
Long-term causal effects via behavioral game theory0
From dependency to causality: a machine learning approach0
Distinguishing cause from effect using observational data: methods and benchmarks0
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components0
Bounding the Probability of Causation in Mediation Analysis0
Non-linear Causal Inference using Gaussianity Measures0
The Randomized Causation Coefficient0
Attributes for Causal Inference in Longitudinal Observational Databases0
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality0
Inferring causal structure: a quantum advantage0
Causal Inference through a Witness Protection Program0
Beyond Bell's Theorem II: Scenarios with arbitrary causal structure0
Counterfactual Estimation and Optimization of Click Metrics for Search Engines0
On the Intersection Property of Conditional Independence and its Application to Causal Discovery0
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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