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06/21/2023
Learning Conditional Instrumental Variable Representation for Causal Effect Estimation
One of the fundamental challenges in causal inference is to estimate the...
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05/31/2023
Research And Implementation Of Drug Target Interaction Confidence Measurement Method Based On Causal Intervention
The identification and discovery of drug-target Interaction (DTI) is an ...
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05/02/2023
Ripple Knowledge Graph Convolutional Networks For Recommendation Systems
Using knowledge graphs to assist deep learning models in making recommen...
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04/24/2023
Causal Effect Estimation with Variational AutoEncoder and the Front Door Criterion
An essential problem in causal inference is estimating causal effects fr...
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04/05/2023
FASTAGEDS: Fast Approximate Graph Entity Dependency Discovery
This paper studies the discovery of approximate rules in property graphs...
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02/19/2023
Disentangled Representation for Causal Mediation Analysis
Estimating direct and indirect causal effects from observational data is...
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01/04/2023
Matching Using Sufficient Dimension Reduction for Heterogeneity Causal Effect Estimation
Causal inference plays an important role in under standing the underlyin...
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11/29/2022
Causal Inference with Conditional Instruments using Deep Generative Models
The instrumental variable (IV) approach is a widely used way to estimate...
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08/20/2022
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey
In many fields of scientific research and real-world applications, unbia...
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08/19/2022
Disentangled Representation with Causal Constraints for Counterfactual Fairness
Much research has been devoted to the problem of learning fair represent...
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06/04/2022
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data
Instrumental variable (IV) is a powerful approach to inferring the causa...
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01/11/2022
Ancestral instrument method for causal inference without a causal graph
Unobserved confounding is the main obstacle to causal effect estimation ...
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10/08/2020
Assessing the Fairness of Classifiers with Collider Bias
The increasing maturity of machine learning technologies and their appli...
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09/14/2020
Sufficient Dimension Reduction for Average Causal Effect Estimation
Having a large number of covariates can have a negative impact on the qu...
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07/20/2020
Local search for efficient causal effect estimation
Causal effect estimation from observational data is an important but cha...
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02/24/2020
Towards precise causal effect estimation from data with hidden variables
Causal effect estimation from observational data is a crucial but challe...
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01/28/2020