25 citations · 43 across the 4 of their papers we have counts for
4 papers
Representation Transfer for Differentially Private Drug Sensitivity Prediction
Teppo Niinimäki, Mikko Heikkilä, Antti Honkela +1
Motivation: Human genomic datasets often contain sensitive information that limits use and sharing of the data. In particular, simple anonymisation strategies fail to provide suffi…
Treedy: A Heuristic for Counting and Sampling Subsets
Teppo Niinimaki, Mikko Koivisto
Consider a collection of weighted subsets of a ground set N. Given a query subset Q of N, how fast can one (1) find the weighted sum over all subsets of Q, and (2) sample a subset…
Local Structure Discovery in Bayesian Networks
Teppo Niinimaki, Pekka Parviainen
Learning a Bayesian network structure from data is an NP-hard problem and thus exact algorithms are feasible only for small data sets. Therefore, network structures for larger netw…
Partial Order MCMC for Structure Discovery in Bayesian Networks
Teppo Niinimaki, Pekka Parviainen, Mikko Koivisto
We present a new Markov chain Monte Carlo method for estimating posterior probabilities of structural features in Bayesian networks. The method draws samples from the posterior dis…