NSH 3305 at NOON [Re: Auton Lab guest lecture this Friday: Mathieu Guillame-Bert]
Artur Dubrawski
awd at cs.cmu.edu
Tue Jun 5 21:34:40 EDT 2018
As Jarod astutely pointed out, the time was missing in the original
announcement. It will be high noon.
On Tue, Jun 5, 2018 at 3:59 PM, Artur Dubrawski <awd at cs.cmu.edu> wrote:
> Dear Autonians,
>
> On Friday, we can all witness a triumphant return of our own Dr.
> Guillame-Bert
> who will be visiting Pittsburgh for few days.
>
> He has graciously agreed to give us a talk, see below for its title and
> abstract.
>
> It will take place in NSH 3305 and Jessie and Predrag will decide where to
> order lunch.
> Please confirm with them (cc-d here for convenience) if you're planning to
> attend
> so that we can get an approximate head count to order food.
>
> Cheers!
> Artur
>
> TITLE:
> Applying Random Forest at Google
>
> ABSTRACT:
> Random Forest is a popular supervised learning algorithm that shows both
> high usability and high performances. For this reason, Random Forest is
> often a competitive candidate solution for machine learning tasks in
> industrial environments. However, the amount of training data and the
> serving constraints present in Google, gives rise to many challenges in its
> use.
> In this talk, I will present recent developments of Random Forest
> technology for Google usage, including 1) The distributed training of
> Random Forest over hundreds of computers in order to handle datasets with
> billions of examples. 2) The efficient tuning of Random Forest
> hyper-parameters to any custom objective function with constraints. 3) And
> finally, early work on using GPUs to speeding-up the inference of Random
> Forest models.
>
>
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