Auton Lab guest lecture this Friday: Mathieu Guillame-Bert

[Artur Dubrawski]

 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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