[Statlist] Reminder: ETH Young Data Science Researcher Seminar Zurich - virtual seminar with Yixin Wang, University of Michigan - Thursday, 15 December 2022

[Maurer Letizia]

We are glad to announce the following virtual talk in the ETH Young Data Science Researcher Seminar Zurich

"Representation Learning: A Causal Perspective“  
by Yixin Wang, University of Michigan

Date and Time: Thursday, 15 December 2022, 16:00-17:00 (Zurich time)
Place:  Zoom at https://ethz.zoom.us/j/68998616059

Abstract: Representation learning constructs low-​dimensional representations to summarize essential features of high-​dimensional data like images and texts. Ideally, such a representation should efficiently capture non-​spurious features of the data. It shall also be disentangled so that we can interpret what feature each of its dimensions captures. However, these desiderata are often intuitively defined and challenging to quantify or enforce. In this talk, we take on a causal perspective of representation learning. We show how desiderata of representation learning can be formalized using counterfactual notions, enabling metrics and algorithms that target efficient, non-​spurious, and disentangled representations of data. We discuss the theoretical underpinnings of the algorithm and illustrate its empirical performance in both supervised and unsupervised representation learning. This is joint work with Michael Jordan: https://arxiv.org/abs/2109.03795

This is based on joint work with Yuxin Chen, Jianqing Fan and Cong Ma.


Seminar website: https://math.ethz.ch/sfs/news-and-events/young-data-science.html

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