Topi Paananen

M.Sc. (Tech.), Doctoral student
Probabilistic Machine Learning Group

Room: Konemiehentie 2, 3rd floor, A338
Email: topi.paananen(at)

Research Activities

I work as a doctoral candidate in the Probabilistic Machine Learning group at Aalto University. My research is focused on Bayesian methods for model assessment and selection. My supervisor is Prof. Aki Vehtari.

Submitted articles

  • Topi Paananen, Juho Piironen, Paul-Christian B├╝rkner and Aki Vehtari (2019). Pushing the Limits of Importance Sampling through Iterative Moment Matching. Preprint Code.
  • Topi Paananen, Michael Riis Andersen and Aki Vehtari (2019). Ranking variables and interactions using predictive uncertainty measures. Preprint.
  • Peer-reviewed articles

  • Topi Paananen, Juho Piironen, Michael Riis Andersen and Aki Vehtari (2019). Variable selection for Gaussian processes via sensitivity analysis of the posterior predictive distribution. In Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 89: 1743-1752. Online Code.
  • Teaching

  • Bayesian Data Analysis, 2018-2019, teaching assistant. Lectured by Prof. Aki Vehtari.