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06/01/2023
Better Private Linear Regression Through Better Private Feature Selection
Existing work on differentially private linear regression typically assu...
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01/28/2022
A Joint Exponential Mechanism For Differentially Private Top-k
We present a differentially private algorithm for releasing the sequence...
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01/27/2022
Plume: Differential Privacy at Scale
Differential privacy has become the standard for private data analysis, ...
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01/20/2022
Scalable Sampling for Nonsymmetric Determinantal Point Processes
A determinantal point process (DPP) on a collection of M items is a mode...
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10/29/2021
Combining Public and Private Data
Differential privacy is widely adopted to provide provable privacy guara...
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02/16/2021
Differentially Private Quantiles
Quantiles are often used for summarizing and understanding data. If that...
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10/11/2020
Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms
Federated learning is typically approached as an optimization problem, w...
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06/17/2020
Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes
Determinantal point processes (DPPs) have attracted significant attentio...
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11/06/2015
Submodular Hamming Metrics
We show that there is a largely unexplored class of functions (positive ...
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11/04/2014