Aalto Stochastics and Statistics Seminar
Aalto Stochastics and Statistics Seminar is organized by Kalle Kytölä, Lasse Leskelä, and Pauliina Ilmonen. Feel free to contact one of us if you are interested in giving a talk. You may also earn credit points by active participation.
- Join stochastics@list.aalto.fi to receive seminar announcements and stay updated on probability and statistics in Aalto University
Recent and upcoming talks
- 2.8. 11:15 Ian Välimaa (Aalto University): Spectral clustering of random hypergraphs (MSc presentation) – M2 (M233)
Multiway clustering is a clustering problem with multidimensional data arrays. Such data can be used to represent higher-order interactions, hypergraphs and multilayer networks. This has various applications such as gene clustering from multitissue gene expression data or higher-order gene interactions, and personalized web search from clickthrough data. The main objective of this thesis is to determine when an underlying true cluster structure can be recovered from large and noisy data. Specifically, assuming a statistical model (tensor block model), how sparse a data array can be for a fast algorithm to recover the underlying clusters with high probability. This thesis develops a spectral clustering algorithm to solve this statistical problem, proves weak consistency with mathematical rigor and demonstrates it with numerical simulations. The weak consistency is proved by developing concentration inequalities for certain random matrices. The obtained weak consistency regime improves existing results.
- 22.5. 11:15 Meri Aho: On the quality of mathematical writing produced by ChatGPT and Gemini (MSc thesis presentation) – M240
- 29.4. 14:15 Tunç Köse (Aalto University): Community recovery with variational inference and stochastic block models (MSc presentation) – M222 (Kappa)
Past seminars
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