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03/01/2023
Subset-Based Instance Optimality in Private Estimation
We propose a new definition of instance optimality for differentially pr...
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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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10/29/2021
Combining Public and Private Data
Differential privacy is widely adopted to provide provable privacy guara...
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02/23/2021
Learning with User-Level Privacy
We propose and analyze algorithms to solve a range of learning tasks und...
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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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11/23/2014
Diversifying Sparsity Using Variational Determinantal Point Processes
We propose a novel diverse feature selection method based on determinant...
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11/04/2014
Expectation-Maximization for Learning Determinantal Point Processes
A determinantal point process (DPP) is a probabilistic model of set dive...
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10/16/2012
Markov Determinantal Point Processes
A determinantal point process (DPP) is a random process useful for model...
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07/25/2012
Determinantal point processes for machine learning
Determinantal point processes (DPPs) are elegant probabilistic models of...
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02/14/2012