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 16011650 of 1722 papers

TitleStatusHype
On the difference between building and extracting patterns: a causal analysis of deep generative models.0
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial NetsCode0
Estimation and Inference on Heterogeneous Treatment Effects in High-Dimensional Dynamic Panels under Weak Dependence0
An Exact and Robust Conformal Inference Method for Counterfactual and Synthetic ControlsCode0
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms0
Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration0
Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment0
RNN-based counterfactual prediction, with an application to homestead policy and public schoolingCode0
Permutation-based Causal Inference Algorithms with Interventions0
Causal nearest neighbor rules for optimal treatment regimes0
Estimation Considerations in Contextual Bandits0
Orthogonal Machine Learning: Power and LimitationsCode0
Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset0
Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect0
A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence0
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference0
Feature Selection as Causal Inference: Experiments with Text Classification0
The Inflation Technique Completely Solves the Causal Compatibility Problem0
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional DistributionsCode0
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference0
On Adaptive Propensity Score Truncation in Causal InferenceCode0
Learning linear structural equation models in polynomial time and sample complexity0
Fast Restricted Causal Inference0
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition0
Restricted Causal Inference Algorithm0
Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data0
Deep Counterfactual Networks with Propensity-DropoutCode0
Bias and high-dimensional adjustment in observational studies of peer effectsCode0
A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform0
Learning Causal Structures Using Regression Invariance0
Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion0
Auditing Search Engines for Differential Satisfaction Across Demographics0
Causal Effect Inference with Deep Latent-Variable ModelsCode1
RankPL: A Qualitative Probabilistic Programming Language0
GP CaKe: Effective brain connectivity with causal kernels0
Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS)0
Efficient and accurate causal inference with hidden confounders from genome-transcriptome variation dataCode0
Counterfactual FairnessCode0
Estimation and Inference on Nonlinear and Heterogeneous Effects0
Probabilistic Matching: Causal Inference under Measurement Errors0
Outcome-adaptive lasso: variable selection for causal inferenceCode0
Causal Inference by Stochastic Complexity0
Causal Inference on Multivariate and Mixed-Type Data0
Simple rules for complex decisions0
Interaction Information for Causal Inference: The Case of Directed Triangle0
Semidefinite tests for latent causal structures0
Generalized Optimal Matching Methods for Causal Inference0
Joint Causal Inference from Multiple Contexts0
Causal Inference in Observational Data0
Entropic Causal InferenceCode0
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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