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Carlos Mougan

Model Agnostic Explainable Selective Regression via Uncertainty Estimation

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Nov 15, 2023
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Kantian Deontology Meets AI Alignment: Towards Morally Robust Fairness Metrics

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Nov 09, 2023
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How to Data in Datathons

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Sep 19, 2023
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Demographic Parity Inspector: Fairness Audits via the Explanation Space

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Mar 14, 2023
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Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions

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Mar 14, 2023
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Introducing explainable supervised machine learning into interactive feedback loops for statistical production system

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Feb 07, 2022
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Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap

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Jan 27, 2022
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Fairness implications of encoding protected categorical attributes

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Jan 27, 2022
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Quantile Encoder: Tackling High Cardinality Categorical Features in Regression Problems

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May 27, 2021
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