Search Results for author: Mikko Heikkilä

Found 2 papers, 1 papers with code

Representation Transfer for Differentially Private Drug Sensitivity Prediction

no code implementations29 Jan 2019 Teppo Niinimäki, Mikko Heikkilä, Antti Honkela, Samuel Kaski

Differentially private learning with genomic data is challenging because it is more difficult to guarantee the privacy in high dimensions.

BIG-bench Machine Learning Cancer type classification +2

Differentially Private Bayesian Learning on Distributed Data

1 code implementation NeurIPS 2017 Mikko Heikkilä, Eemil Lagerspetz, Samuel Kaski, Kana Shimizu, Sasu Tarkoma, Antti Honkela

Many applications of machine learning, for example in health care, would benefit from methods that can guarantee privacy of data subjects.

Bayesian Inference

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