UNSW Computational Statistics / Machine Learning Reading Group
Each session ,the person leading the session will prescribe some reading (to be read beforehand), and during the session will lead a discussion about the material.
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Due to the current situation, these sessions are on hold indefinitely.
Theme: Optimal Transport
Why are we looking at this stuff? See this brief (we will look at some of the things mentioned in Part II).
Part I: Foundations
Friday 13th March, 11AM — Rob Salomone
Location: Business School 130
Reading: pp. 1-30 of the (resp. pp. 1–15 of )
Topic: Entropic Regularization & Sinkhorn Iteration
Topic: Wasserstein Barycenters & Wasserstein Estimation (Xuhui)
Topic: Gradient Flows (Spiro)
Yu Guang Wang
Part II: Methodological/Related Papers
Theme: Variational Autoencoders (and Related Topics)
17th September, 2019 — Rob Salomone
2nd October, 2019 — Boris Beranger
16th October, 2019 — Xuhui Fan
23rd October, 2019 — Dan Mackinlay
6th November, 2019 — Yu Guang Wang