138 citations
- Amazon (United States)US6 papers
- University of BristolGB3 papers
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- Amazon (Germany)DE2 papers
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- Aalto UniversityFI1 paper
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Showing 2018 · cs.LGShow all
2 papers · 2 filters
cs.LG2018★ 77 cited
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
Borja Balle, Yu-Xiang Wang
The Gaussian mechanism is an essential building block used in multitude of differentially private data analysis algorithms. In this paper we revisit the Gaussian mechanism and show…
cs.LG2018★ 54 cited
Leveraging Crowdsourcing Data For Deep Active Learning - An Application: Learning Intents in Alexa
Jie Yang, Thomas Drake, Andreas Damianou +1
This paper presents a generic Bayesian framework that enables any deep learning model to actively learn from targeted crowds. Our framework inherits from recent advances in Bayesia…