Samuel Kaski

Latest

• A decision-theoretic approach for model interpretability in Bayesian framework
• Human-in-the-loop active covariance learning for improving prediction in small data sets
• Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge
• Interactive prior elicitation of feature similarities for small sample size prediction
• Visualizations relevant to the user by multi-view latent variable factorization