Winter 2018 meetings Thursday 5:00-6:30 approximately every other week

C-301 Conference room Padelford 3rd floor

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Yen-chi Chen and Marina Meila

We will read and discuss foundational papers and themes of Geometric Data Analysis such as

More information and a web page to come soon. If you are interested in participating, please email the organizers. We will aim to meet approximately every other week, i.e. to have 4-5 meetings this quarter.

For student participants: You will not be required to make a presentation/lead a discussion of a paper this quarter, but if you plan to volunteer for one, you can sign up for 1 stat 600 credit with one of the organizers.

Schedule for Winter 2018

[1/11] Sam Koelle will present Metric manifold learning: preserving the intrinsic geometry (slides)

[1/25] Yu-Chia Chen will present Improved Graph Laplacian via geometric self-consistency




Schedule for Autumn 2017

[11//30] Daniel Ting (Tableau) on understaning Laplacians (tentative title!)

[11/16] Kitty Mohammed Manifold Learning with KDE and Local PCA

[11/2] Sheridan Grant The nuts and bolts of persistent homology

[10/19] Marina Meila Algorithmics of Manifold Learning

Skim through these before the meeting

Other resources

[10/5] Yen-chi Chen Introduction to TDA after this paper