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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 1651–1700 of 1722 papers

TitleStatusHype
Comparison of meta-learners for estimating multi-valued treatment heterogeneous effectsCode0
Heterogeneous Treatment Effects in Panel DataCode0
Propensity score models are better when post-calibratedCode0
PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood EstimationCode0
Bayesian Topic Regression for Causal InferenceCode0
An adaptive denoising recommendation algorithm for causal separation biasCode0
Causal Inference with Hidden MediatorsCode0
Causal Inference for Knowledge Graph based RecommendationCode0
High Dimensional Causal Inference with Variational Backdoor AdjustmentCode0
Model-Agnostic Covariate-Assisted Inference on Partially Identified Causal EffectsCode0
Proximal Causal Inference With Text DataCode0
Towards Trustworthy Explanation: On Causal RationalizationCode0
Interpretable Almost Matching Exactly for Causal InferenceCode0
Hillclimb-Causal Inference: A Data-Driven Approach to Identify Causal Pathways Among Parental Behaviors, Genetic Risk, and Externalizing Behaviors in ChildrenCode0
History-dependence shapes causal inference of brain-behaviour relationshipsCode0
HNCI: High-Dimensional Network Causal InferenceCode0
Proximal Reinforcement Learning: Efficient Off-Policy Evaluation in Partially Observed Markov Decision ProcessesCode0
Adversarial Balancing for Causal InferenceCode0
Algebraic and Statistical Properties of the Ordinary Least Squares InterpolatorCode0
Interpretable, multi-dimensional Evaluation Framework for Causal Discovery from observational i.i.d. DataCode0
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational DataCode0
Modular Learning of Deep Causal Generative Models for High-dimensional Causal InferenceCode0
Spike-based causal inference for weight alignmentCode0
Causal Inference for Human-Language Model CollaborationCode0
Hyperparameter Tuning and Model Evaluation in Causal Effect EstimationCode0
Adaptive Nonparametric Perturbations of Parametric Bayesian ModelsCode0
Adapting Neural Networks for the Estimation of Treatment EffectsCode0
MPEG: A Multi-Perspective Enhanced Graph Attention Network for Causal Emotion Entailment in ConversationsCode0
Zero-shot Causal Graph Extrapolation from Text via LLMsCode0
Identifiable causal inference with noisy treatment and no side informationCode0
A Multi-level Neural Network for Implicit Causality Detection in Web TextsCode0
Transfer Learning in Latent Contextual Bandits with Covariate Shift Through Causal TransportabilityCode0
Transport-based Counterfactual ModelsCode0
Quantile Causal DiscoveryCode0
Standardizing Structural Causal ModelsCode0
A Causal Framework for Evaluating Deferring SystemsCode0
A Latent Causal Inference Framework for Ordinal VariablesCode0
The interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventionsCode0
Treatment Effect Estimation with Observational Network Data using Machine LearningCode0
Effective Bayesian Causal Inference via Structural Marginalisation and Autoregressive OrdersCode0
Bayesian Causal Inference with Gaussian Process NetworksCode0
Identifying Causal Structure in Dynamical SystemsCode0
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression ExtractionCode0
BART: Bayesian additive regression treesCode0
Using LLMs for Explaining Sets of Counterfactual Examples to Final UsersCode0
Realization of Causal Representation Learning to Adjust Confounding Bias in Latent SpaceCode0
Trust Dynamics and Market Behavior in Cryptocurrency: A Comparative Study of Centralized and Decentralized ExchangesCode0
Identifying Patient-Specific Root Causes of DiseaseCode0
A Practical Approach to Causal Inference over TimeCode0
Identifying the Effect of PersuasionCode0
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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