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Jennifer Gillenwater

Better Private Linear Regression Through Better Private Feature Selection

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Jun 01, 2023
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Scalable Sampling for Nonsymmetric Determinantal Point Processes

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Jan 20, 2022
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Combining Public and Private Data

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Oct 29, 2021
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Differentially Private Quantiles

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Feb 16, 2021
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Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms

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Oct 11, 2020
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Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes

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Jun 17, 2020
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Submodular Hamming Metrics

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Nov 06, 2015
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Expectation-Maximization for Learning Determinantal Point Processes

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Nov 04, 2014
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