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Muhammad Bilal Zafar

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MPI-SWS

Multi-objective Asynchronous Successive Halving

Jun 23, 2021
Robin Schmucker, Michele Donini, Muhammad Bilal Zafar, David Salinas, Cédric Archambeau

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On the Lack of Robust Interpretability of Neural Text Classifiers

Jun 08, 2021
Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cédric Archambeau, Sanjiv Das, Krishnaram Kenthapadi

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Loss-Aversively Fair Classification

May 10, 2021
Junaid Ali, Muhammad Bilal Zafar, Adish Singla, Krishna P. Gummadi

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Pairwise Fairness for Ordinal Regression

May 07, 2021
Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell

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Unifying Model Explainability and Robustness via Machine-Checkable Concepts

Jul 02, 2020
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar

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A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices

Jul 02, 2018
Till Speicher, Hoda Heidari, Nina Grgic-Hlaca, Krishna P. Gummadi, Adish Singla, Adrian Weller, Muhammad Bilal Zafar

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From Parity to Preference-based Notions of Fairness in Classification

Nov 28, 2017
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi, Adrian Weller

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On Fairness, Diversity and Randomness in Algorithmic Decision Making

Jun 30, 2017
Nina Grgić-Hlača, Muhammad Bilal Zafar, Krishna P. Gummadi, Adrian Weller

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Fairness Constraints: Mechanisms for Fair Classification

Mar 23, 2017
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi

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Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

Mar 08, 2017
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi

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