[CMU AI Seminar] February 27 at 12pm (GHC 6115 & Zoom) -- Xiangxiang Xu (MIT) -- A Geometric Perspective of Feature Learning -- AI Seminar sponsored by SambaNova Systems

[Asher Trockman]

Reminder that this is happening soon!

On Sun, Feb 25, 2024 at 4:29 PM Asher Trockman <ashert at cs.cmu.edu> wrote:

> Dear all,
>
> We look forward to seeing you *this Tuesday (2/27)* from *1**2:00-1:00 PM
> (U.S. Eastern time)* for the next talk of this semester's *CMU AI Seminar*,
> sponsored by SambaNova Systems <https://sambanova.ai/>. The seminar will
> be held in GHC 6115 *with pizza provided *and will be streamed on Zoom.
>
> To learn more about the seminar series or to see the future schedule,
> please visit the seminar website <http://www.cs.cmu.edu/~aiseminar/>.
>
> On this Tuesday (2/27), *Xiangxiang Xu* (MIT) will be giving a talk
> titled *"**A Geometric Perspective of Feature Learning**"*.
>
> *Title*: A Geometric Perspective of Feature Learning
>
> *Talk Abstract*: In this talk, we present a geometric framework for
> learning and processing information with deep neural networks. We introduce
> feature geometry, which unifies statistical dependence and feature
> representations in a function space. We formulate each learning problem as
> solving the optimal feature representation of the associated dependence
> component. We will illustrate how this perspective connects distinct
> learning problems and provides more adaptable solutions, from
> classification/estimation to feature selection/extraction. We also
> demonstrate its applications in complicated learning scenarios, including
> dealing with constraints and incomplete data, incorporating side
> information, and learning the dependence structures of sequential data.
>
> *Speaker Bio:* Xiangxiang Xu received the B.Eng. and Ph.D. degrees in
> electronic engineering from Tsinghua University, Beijing, China, in 2014
> and 2020, respectively. He is a postdoctoral associate in the Department of
> EECS at MIT. His research focuses on information theory and statistical
> learning, with applications in understanding and developing learning
> algorithms.
>
> *In person: *GHC 6115
> *Zoom Link*:
> https://cmu.zoom.us/j/99510233317?pwd=ZGx4aExNZ1FNaGY4SHI3Qlh0YjNWUT09
>
> Thanks,
> Asher Trockman
>
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