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Guy N. Rothblum

On Computationally Efficient Multi-Class Calibration

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Feb 12, 2024
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Decision-Making under Miscalibration

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Mar 18, 2022
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Consider the Alternatives: Navigating Fairness-Accuracy Tradeoffs via Disqualification

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Oct 02, 2021
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Outcome Indistinguishability

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Nov 26, 2020
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Abstracting Fairness: Oracles, Metrics, and Interpretability

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Apr 04, 2020
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Preference-Informed Fairness

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Apr 03, 2019
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Probably Approximately Metric-Fair Learning

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Jul 01, 2018
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Calibration for the (Computationally-Identifiable) Masses

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Mar 16, 2018
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Fairness Through Computationally-Bounded Awareness

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Mar 08, 2018
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Private Data Release via Learning Thresholds

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Jul 13, 2011
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