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We develop a privatised stochastic variational inference method for Latent Dirichlet Allocation (LDA).
Perplexity–a measure of the difficulty of speech recognition tasks
Fred Jelinek, Robert L Mercer, Lalit R Bahl, and James K Baker · 1977
Earlier work this paper cites.
Variational Algorithms for Approximate Bayesian Inference
M. J. Beal · 2003
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Latent Dirichlet allocation
David M. Blei, Andrew Y. Ng, and Michael I. Jordan · 2003
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Calibrating noise to sensitivity in private data analysis
Cynthia Dwork, Frank McSherry, Kobbi Nissim, and Adam Smith · 2006
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Boosting and differential privacy
Cynthia Dwork, Guy N Rothblum, and Salil Vadhan · 2010
Earlier work this paper cites.
Online learning for latent Dirichlet allocation
Matthew Hoffman, Francis R. Bach, and David M. Blei · 2010
Cited alongside, same era.
The algorithmic foundations of differential privacy
Cynthia Dwork and Aaron Roth · 2014
Cited alongside, same era.
Robust and private Bayesian inference
Christos Dimitrakakis, Blaine Nelson, Aikaterini Mitrokotsa, and Benjamin I.P. Rubinstein · 2014
Cited alongside, same era.
On the differential privacy of Bayesian inference
Zuhe Zhang, Benjamin Rubinstein, and Christos Dimitrakakis · 2016
Cited alongside, same era.
On the theory and practice of privacy-preserving Bayesian data analysis
James R. Foulds, Joseph Geumlek, Max Welling, and Kamalika Chaudhuri · 2016
Cited alongside, same era.
Differentially private Bayesian programming
Gilles Barthe, Gian Pietro Farina, Marco Gaboardi, Emilio Jesús Gallego Arias, Andy Gordon, Justin Hsu, and Pierre-Yves Strub · 2016
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Deep learning with differential privacy
M. Abadi, A. Chu, I. Goodfellow, H. Brendan McMahan, I. Mironov, K. Talwar, and L. Zhang · 2016
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Concentrated differential privacy: Simplifications, extensions, and lower bounds
Mark Bun and Thomas Steinke · 2016
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DP-EM: Differentially private expectation maximization
Mijung Park, James R. Foulds, Kamalika Chaudhuri, and Max Welling · 2017
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