To Split or Not to Split: The Impact of Disparate Treatment in
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To Split or Not to Split: The Impact of Disparate Treatment in Classification

IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020

12 February 2020

Flavio du Pin Calmon

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Papers citing "To Split or Not to Split: The Impact of Disparate Treatment in Classification"

12 / 12 papers shown

Title
To Pool or Not To Pool: Analyzing the Regularizing Effects of Group-Fair Training on Shared Models Cyrus Cousins I. E. Kumar Suresh Venkatasubramanian FedML 123 2 0 29 Feb 2024
Demystifying Local and Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition Faisal Hamman Sanghamitra Dutta FedML 183 13 0 21 Jul 2023
Quantifying Feature Contributions to Overall Disparity Using Information Theory Sanghamitra Dutta Praveen Venkatesh P. Grover FAtt 86 5 0 16 Jun 2022
When Personalization Harms: Reconsidering the Use of Group Attributes in PredictionInternational Conference on Machine Learning (ICML), 2022 Vinith Suriyakumar Marzyeh Ghassemi Berk Ustun 212 9 0 04 Jun 2022
Can Information Flows Suggest Targets for Interventions in Neural Circuits?Neural Information Processing Systems (NeurIPS), 2021 Praveen Venkatesh Sanghamitra Dutta Neil Mehta P. Grover AAML 118 8 0 09 Nov 2021
Algorithmic encoding of protected characteristics in image-based models for disease detection Ben Glocker Charles Jones Mélanie Bernhardt S. Winzeck 258 10 0 27 Oct 2021
Optimality and Stability in Federated Learning: A Game-theoretic ApproachNeural Information Processing Systems (NeurIPS), 2021 Kate Donahue Jon M. Kleinberg FedML 116 61 0 17 Jun 2021
How Costly is Noise? Data and Disparities in Consumer Credit Laura Blattner Scott Nelson 110 47 0 17 May 2021
Impact of Data Processing on Fairness in Supervised LearningInternational Symposium on Information Theory (ISIT), 2021 S. Khodadadian AmirEmad Ghassami Negar Kiyavash FaML 78 6 0 03 Feb 2021
Minimax Pareto Fairness: A Multi Objective Perspective Natalia Martínez Martín Bertrán Guillermo Sapiro FaML 157 216 0 03 Nov 2020
Fairness Under Feature Exemptions: Counterfactual and Observational MeasuresIEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2020 Sanghamitra Dutta Praveen Venkatesh Piotr (Peter) Mardziel Anupam Datta P. Grover 158 17 0 14 Jun 2020
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic FairnessPattern Recognition (Pattern Recognit.), 2019 Zhu Li Adrián Pérez-Suay Gustau Camps-Valls Dino Sejdinovic FaML 126 23 0 11 Nov 2019