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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 1401–1450 of 1722 papers

TitleStatusHype
Valid causal inference with unobserved confounding in high-dimensional settingsCode0
Detecting and Measuring Confounding Using Causal Mechanism ShiftsCode0
Detecting clinician implicit biases in diagnoses using proximal causal inferenceCode0
Detecting hidden confounding in observational data using multiple environmentsCode0
Removing systematic errors for exoplanet search via latent causesCode0
Synthetic Combinations: A Causal Inference Framework for Combinatorial InterventionsCode0
Representation Learning for Treatment Effect Estimation from Observational DataCode0
Is machine learning good or bad for the natural sciences?Code0
Wasserstein Random Forests and Applications in Heterogeneous Treatment EffectsCode0
Variable Importance Clouds: A Way to Explore Variable Importance for the Set of Good ModelsCode0
On the Identifiability and Estimation of Causal Location-Scale Noise ModelsCode0
From Images to Insights: Explainable Biodiversity Monitoring with Plain Language Habitat ExplanationsCode0
Conditional Generative Models are Sufficient to Sample from Any Causal Effect EstimandCode0
Diffusion Model in Causal Inference with Unmeasured ConfoundersCode0
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal InferenceCode0
Dirac Delta Regression: Conditional Density Estimation with Clinical TrialsCode0
On the Mechanistic Interpretability of Neural Networks for Causality in Bio-statisticsCode0
Direct-Effect Risk Minimization for Domain GeneralizationCode0
Discovering Ancestral Instrumental Variables for Causal Inference from Observational DataCode0
Generalized Random Forests using Fixed-Point TreesCode0
On the Out-of-Distribution Generalization of Self-Supervised LearningCode0
Kernel-based estimators for functional causal effectsCode0
Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved ConfoundersCode0
Conditional Cross-Design Synthesis Estimators for Generalizability in MedicaidCode0
Compositional Probabilistic and Causal Inference using Tractable Circuit ModelsCode0
Comparison between instrumental variable and mediation-based methods for reconstructing causal gene networks in yeastCode0
Sequential Kernel Embedding for Mediated and Time-Varying Dose Response CurvesCode0
Tangential Wasserstein ProjectionsCode0
χSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid DomainsCode0
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical SystemsCode0
Causal discovery for observational sciences using supervised machine learningCode0
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLPCode0
Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable DataCode0
Do-calculus enables estimation of causal effects in partially observed biomolecular pathwaysCode0
On the Role of Surrogates in Conformal Inference of Individual Causal EffectsCode0
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time SeriesCode0
Do large language models and humans have similar behaviors in causal inference with script knowledge?Code0
A Kernel Test for Causal Association via Noise Contrastive Backdoor AdjustmentCode0
Do LLMs Have the Generalization Ability in Conducting Causal Inference?Code0
How-to Present News on Social Media: A Causal Analysis of Editing News Headlines for Boosting User EngagementCode0
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional DistributionsCode0
Causal Cartographer: From Mapping to Reasoning Over Counterfactual WorldsCode0
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic ControlCode0
Double Cross-fit Doubly Robust Estimators: Beyond Series RegressionCode0
Combinatorial Causal BanditsCode0
Large-Scale Local Causal Inference of Gene Regulatory RelationshipsCode0
Causal hybrid modeling with double machine learningCode0
Double Machine Learning for Causal Inference under Shared-State InterferenceCode0
APEX: Empowering LLMs with Physics-Based Task Planning for Real-time InsightCode0
COLD: Causal reasOning in cLosed Daily activitiesCode0
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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