138 citations
- Amazon (United States)US6 papers
- University of BristolGB3 papers
- University of OxfordGB3 papers
- Amazon (Germany)DE2 papers
- Universidad Politécnica de MadridES2 papers
- University of AmsterdamNL2 papers
- University of EdinburghGB2 papers
- University of SheffieldGB2 papers
- Aalto UniversityFI1 paper
- Allen InstituteUS1 paper
- Amsterdam University of the ArtsNL1 paper
- Bilkent UniversityTR1 paper
Showing 2018Show all
3 papers · 1 filter
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…
stat.ML2018
Intrinsic Gaussian processes on complex constrained domains
Mu Niu, Pokman Cheung, Lizhen Lin +3
We propose a class of intrinsic Gaussian processes (in-GPs) for interpolation, regression and classification on manifolds with a primary focus on complex constrained domains or irr…