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07/01/2023
Saibot: A Differentially Private Data Search Platform
Recent data search platforms use ML task-based utility measures rather t...
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12/15/2022
Privately Estimating a Gaussian: Efficient, Robust and Optimal
In this work, we give efficient algorithms for privately estimating a Ga...
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06/29/2022
Hypothesis Testing for Differentially Private Linear Regression
In this work, we design differentially private hypothesis tests for the ...
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01/10/2022
Bounded Space Differentially Private Quantiles
Estimating the quantiles of a large dataset is a fundamental problem in ...
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07/10/2020
Differentially Private Simple Linear Regression
Economics and social science research often require analyzing datasets o...
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06/23/2019
The Cost of a Reductions Approach to Private Fair Optimization
We examine a reductions approach to fair optimization and learning where...
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04/26/2019
Learning to Prune: Speeding up Repeated Computations
It is common to encounter situations where one must solve a sequence of ...
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04/11/2018
Unleashing Linear Optimizers for Group-Fair Learning and Optimization
Most systems and learning algorithms optimize average performance or ave...
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04/11/2018
When optimizing nonlinear objectives is no harder than linear objectives
Most systems and learning algorithms optimize average performance or ave...
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04/06/2017