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2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) ,
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Improved Differentially Private Regression via Gradient Boo..:
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Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency ,
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Diversified Ensembling: An Experiment in Crowdsourced Machi..:
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Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society ,
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Multicalibrated Regression for Downstream Fairness:
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2022 ACM Conference on Fairness, Accountability, and Transparency ,
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Multiaccurate Proxies for Downstream Fairness:
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2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ,
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Mixed Differential Privacy in Computer Vision:
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2022 ACM Conference on Fairness, Accountability, and Transparency ,
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An Algorithmic Framework for Bias Bounties:
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Proceedings of the 22nd ACM Conference on Economics and Computation ,
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Algorithms and Learning for Fair Portfolio Design:
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Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society ,
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Minimax Group Fairness: Algorithms and Experiments:
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2021 4th International Conference on Bio-Engineering for Smart Technologies (BioSMART) ,
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