22 citations · 34 across the 10 of their papers we have counts for
4 papers · 1 filter
Noise-Aware Statistical Inference with Differentially Private Synthetic Data
Ossi Räisä, Joonas Jälkö, Samuel Kaski +1
While generation of synthetic data under differential privacy (DP) has received a lot of attention in the data privacy community, analysis of synthetic data has received much less.…
Targeted Active Learning for Bayesian Decision-Making
Louis Filstroff, Iiris Sundin, Petrus Mikkola +3
Active learning is usually applied to acquire labels of informative data points in supervised learning, to maximize accuracy in a sample-efficient way. However, maximizing the accu…
Federated Stochastic Gradient Langevin Dynamics
Khaoula El Mekkaoui, Diego Mesquita, Paul Blomstedt +1
Stochastic gradient MCMC methods, such as stochastic gradient Langevin dynamics (SGLD), employ fast but noisy gradient estimates to enable large-scale posterior sampling. Although…
Translating biomarkers between multi-way time-series experiments
Ilkka Huopaniemi, Tommi Suvitaival, Matej Orešič +1
Translating potential disease biomarkers between multi-species 'omics' experiments is a new direction in biomedical research. The existing methods are limited to simple experimenta…