212 citations · 505 across the 43 of their papers we have counts for
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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…
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…
Analysis of differential splicing suggests different modes of short-term splicing regulation
Hande Topa, Antti Honkela
Motivation: Alternative splicing is an important mechanism in which the regions of pre-mRNAs are differentially joined in order to form different transcript isoforms. Alternative s…
On the inconsistency of -penalised sparse precision matrix estimation
Otte Heinävaara, Janne Leppä-aho, Jukka Corander +1
Various -penalised estimation methods such as graphical lasso and CLIME are widely used for sparse precision matrix estimation. Many of these methods have been shown to be…