[Lisa_teatalk] [Lisa_labo] Tea Talk 13 July Friday @13.00 Z-209 by Dustin Webb

Frédéric Bastien nouiz at nouiz.org
Wed Jul 16 13:01:24 EDT 2014


Yes.

Fred


On Wed, Jul 16, 2014 at 12:58 PM, David Krueger <
david.scott.krueger at gmail.com> wrote:

> That should be the 18th, correct??
>
>
> On Wed, Jul 16, 2014 at 12:40 PM, Kyung Hyun Cho <cho.k.hyun at gmail.com>
> wrote:
>
>> Hi all,
>>
>> This is a reminder for the upcoming tea talk at 13.00 on Friday. *The
>> tea talk (Z-209)* will be followed by *Nicolas Boulanger's Ph.D. defence
>> at AA-3195* at 14.00. I encourage people to attend both the tea talk and
>> the defence.
>>
>> Best,
>> - Cho
>>
>> On Mon, Jul 14, 2014 at 1:50 PM, Kyung Hyun Cho <cho.k.hyun at gmail.com>
>> wrote:
>>
>>> Dear all,
>>>
>>> This Friday at 13.00, Dustin will give a tea talk about building a
>>> deep/multilayer kernel based on the paper <Kernel Methods for Deep
>>> Learning> by Youngmin Cho and Lawrence K. Saul presented earlier at NIPS
>>> 2009.
>>>
>>> Note that the place is not the usual lecture hall in the same building,
>>> but is Z-209 in the neighbouring building (Pavillon Claire-McNicoll).
>>>
>>> Hope to see many of you on Friday!
>>> - Cho
>>>
>>> ====
>>>
>>> - Speaker: Dustin Webb (University of Utah)
>>> - Date and Time: 13 July 2014 @13.00
>>> - Place: Z-209
>>> - Abstract:
>>>
>>> We introduce a new family of positive-definite kernel functions that
>>> mimic the
>>> computation in large, multilayer neural nets. These kernel functions can
>>> be used
>>> in shallow architectures, such as support vector machines (SVMs), or in
>>> deep
>>> kernel-based architectures that we call multilayer kernel machines
>>> (MKMs). We
>>> evaluate SVMs and MKMs with these kernel functions on problems designed
>>> to
>>> illustrate the advantages of deep architectures. On several problems, we
>>> obtain
>>> better results than previous, leading benchmarks from both SVMs with
>>> Gaussian
>>> kernels as well as deep belief nets.
>>>
>>> http://cseweb.ucsd.edu/~saul/papers/nips09_kernel.pdf
>>>
>>
>>
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>>
>>
>
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