[Lisa_seminaires] [Tea Talk] David Rolnick (UPenn) August 24 2018 10:30 AA6214

Michael Noukhovitch mnoukhov at gmail.com
Ven 24 Aou 10:18:59 EDT 2018


Reminder: talk in 15

On Thu, Aug 23, 2018, 12:56 Michael Noukhovitch <mnoukhov at gmail.com> wrote:

> Sorry for the delay but tomorrow we have *David Rolnick * visiting with
> Konrad Kording's lab at * UPenn * giving a talk on *August 24 2018* at
> *10:30* in room *AA6214*
>
> **Note the different room AA6214**
>
> Will this talk be streamed <https://mila.bluejeans.com/809027115/webrtc>?
> yes
> David will be free until only 1:30~2pm so if you'd like to go with him for
> lunch, stay after the talk and join in!
>
> Be sure to come and hear about the impactful, *profound* insights David
> has to share.
> Michael
>
> P.S. since David was so kind as to step in on short notice, I'll be making
> (or buying) cookies for early attendees ;)
>
> *TITLE* The impact of depth on expressivity and learning
>
> *KEYWORDS *Deep Learning Theory
>
> *ABSTRACT*
> Deeper networks are more powerful than shallow ones, but can be harder to
> train. In this talk, we will rigorously investigate why both of these
> statements are true. Specifically, we will prove that depth leads to an
> exponentially greater ability to express even simple polynomial functions.
> We will identify why some initializations and architectures impede learning
> in deeper networks, and demonstrate (both mathematically and empirically)
> several principles to bear in mind when designing an MLP/ConvNet/ResNet
> that will learn effectively.
>
> *BIO*
> David Rolnick completed his Ph.D. in Mathematics at MIT this year,
> co-advised by Nir Shavit, Max Tegmark, and Ed Boyden. His work focuses on
> the mathematical foundations of artificial and biological neural networks.
> A former NSF Graduate Research Fellow and Fulbright Scholar, David has also
> worked on machine learning research as an intern at Google and DeepMind. He
> will be joining Konrad Kording's group at UPenn as an NSF Mathematical
> Sciences Postdoctoral Research Fellow.
>
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