15 citations · 15 across the 2 of their papers we have counts for
3 papers
stat.CO2020
Multilevel Gibbs Sampling for Bayesian Regression
Joris Tavernier, Jaak Simm, Adam Arany +2
Bayesian regression remains a simple but effective tool based on Bayesian inference techniques. For large-scale applications, with complicated posterior distributions, Markov Chain…
math.NA2018
Two-level preconditioning for Ridge Regression
Joris Tavernier, Jaak Simm, Karl Meerbergen +1
Solving linear systems is often the computational bottleneck in real-life problems. Iterative solvers are the only option due to the complexity of direct algorithms or because the…
cs.AI2017★ 15 cited
Fast semi-supervised discriminant analysis for binary classification of large data-sets
Joris Tavernier, Jaak Simm, Karl Meerbergen +3
High-dimensional data requires scalable algorithms. We propose and analyze three scalable and related algorithms for semi-supervised discriminant analysis (SDA). These methods are…