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Elias Chaibub Neto

Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners

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Nov 09, 2020
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Stable predictions for health related anticausal prediction tasks affected by selection biases: the need to deconfound the test set features

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Nov 09, 2020
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Counterfactual confounding adjustment for feature representations learned by deep models: with an application to image classification tasks

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Apr 23, 2020
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Detecting Learning vs Memorization in Deep Neural Networks using Shared Structure Validation Sets

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Feb 21, 2018
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