27 citations · 115 across the 9 of their papers we have counts for
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stat.ML2016★ 13 cited
Differentially Private Variational Inference for Non-conjugate Models
Joonas Jälkö, Onur Dikmen, Antti Honkela
Many machine learning applications are based on data collected from people, such as their tastes and behaviour as well as biological traits and genetic data. Regardless of how impo…
stat.ML2016★ 22 cited
Efficient differentially private learning improves drug sensitivity prediction
Antti Honkela, Mrinal Das, Arttu Nieminen +2
Users of a personalised recommendation system face a dilemma: recommendations can be improved by learning from data, but only if the other users are willing to share their private…