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Differentially Private Quantiles

Feb 16, 2021
Jennifer Gillenwater, Matthew Joseph, Alex Kulesza

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Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms

Oct 11, 2020
Maruan Al-Shedivat, Jennifer Gillenwater, Eric Xing, Afshin Rostamizadeh

* 27 pages, 7 figures 

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Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes

Jun 17, 2020
Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel

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Submodular Hamming Metrics

Nov 06, 2015
Jennifer Gillenwater, Rishabh Iyer, Bethany Lusch, Rahul Kidambi, Jeff Bilmes

* 15 pages, 1 figure, a short version of this will appear in the NIPS 2015 conference 

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Expectation-Maximization for Learning Determinantal Point Processes

Nov 04, 2014
Jennifer Gillenwater, Alex Kulesza, Emily Fox, Ben Taskar

* Neural Information Processing Systems (NIPS), 2014 

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