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02/04/2022
Correcting Confounding via Random Selection of Background Variables
We propose a method to distinguish causal influence from hidden confound...
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12/30/2020
Provably Training Neural Network Classifiers under Fairness Constraints
Training a classifier under fairness constraints has gotten increasing a...
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07/02/2020
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Structural equation models (SEMs) are widely used in sciences, ranging f...
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06/12/2019