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Amit Deshpande

On the Power of Randomization in Fair Classification and Representation

Jun 05, 2024
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NICE: To Optimize In-Context Examples or Not?

Feb 16, 2024
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Rethinking Robustness of Model Attributions

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Dec 16, 2023
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How Far Can Fairness Constraints Help Recover From Biased Data?

Dec 16, 2023
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Improved Outlier Robust Seeding for k-means

Sep 06, 2023
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Optimizing Group-Fair Plackett-Luce Ranking Models for Relevance and Ex-Post Fairness

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Aug 25, 2023
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Sampling Individually-Fair Rankings that are Always Group Fair

Jun 21, 2023
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Causal Effect Regularization: Automated Detection and Removal of Spurious Attributes

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Jun 19, 2023
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On Testing and Comparing Fair classifiers under Data Bias

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Feb 12, 2023
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Identifying, measuring, and mitigating individual unfairness for supervised learning models and application to credit risk models

Nov 11, 2022
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