[Invited Talk] Jan van Rijn (Columbia University) Monday March 25 2019 10h00 Mila Auditorium
Hi everyone,
Next week we will have an “extraordinary” invited talk ( organized by Christopher Beckham) on Monday :) The regular tea talk will also be back on Friday ( announcement to come!)
See you there,
The Tea Talk Team
TITLE Automated Machine Learning using OpenML.org http://openml.org/
ABTRACT Algorithm Selection and Hyperparameter Optimization are two laborious but viable components of the Machine Learning pipeline. The field of Automated Machine Learning (AutoML) focusses, as the name suggests, on automating these processes. Automated Machine Learning builds upon knowledge from previous experiments. In this talk I will introduce OpenML.org http://openml.org/, an on line platform containing almost 10 million Machine Learning experiments and 20,000 monthly unique visitors. Furthermore, I will talk about some of the projects that utilize this knowledge, in particular for determining which hyperparameters are most important and how to optimize them based on prior knowledge.
BIO Jan van Rijn is founder of the OpenML Foundation, for Open Machine Learning research. He has authored several publications related to Data Science, Automated Machine Learning (AutoML) and Artificial Intelligence. He is currently a post-doctoral researcher at Columbia University in New York. For a complete and up to date list of his publications, please see his Google Scholar profile: https://scholar.google.com/citations?user=O4X5CpwAAAAJ https://scholar.google.com/citations?user=O4X5CpwAAAAJ
Afficher les réponses par date
Reminder! This is in 5 mins.
On Fri, Mar 22, 2019 at 10:25 AM Rim Assouel rim.assouel@gmail.com wrote:
Hi everyone,
Next week we will have an “extraordinary” invited talk ( organized by Christopher Beckham) on Monday :) The regular tea talk will also be back on Friday ( announcement to come!)
See you there,
The Tea Talk Team
*TITLE * Automated Machine Learning using* OpenML.org http://OpenML.org*
*ABTRACT* Algorithm Selection and Hyperparameter Optimization are two laborious but viable components of the Machine Learning pipeline. The field of Automated Machine Learning (AutoML) focusses, as the name suggests, on automating these processes. Automated Machine Learning builds upon knowledge from previous experiments. In this talk I will introduce OpenML.org, an on line platform containing almost 10 million Machine Learning experiments and 20,000 monthly unique visitors. Furthermore, I will talk about some of the projects that utilize this knowledge, in particular for determining which hyperparameters are most important and how to optimize them based on prior knowledge.
*BIO* Jan van Rijn is founder of the OpenML Foundation, for Open Machine Learning research. He has authored several publications related to Data Science, Automated Machine Learning (AutoML) and Artificial Intelligence. He is currently a post-doctoral researcher at Columbia University in New York. For a complete and up to date list of his publications, please see his Google Scholar profile: https://scholar.google.com/citations?user=O4X5CpwAAAAJ
-- You received this message because you are subscribed to the Google Groups "MILA Tous" group. To unsubscribe from this group and stop receiving emails from it, send an email to mila-tous+unsubscribe@mila.quebec.
BTW, you can stream it here: https://mila.bluejeans.com/4862024040/webrtc
(Sorry for the spam, I should have posted this link earlier)
On Mon, Mar 25, 2019 at 9:54 AM Christopher Beckham < christopher.j.beckham@gmail.com> wrote:
Reminder! This is in 5 mins.
On Fri, Mar 22, 2019 at 10:25 AM Rim Assouel rim.assouel@gmail.com wrote:
Hi everyone,
Next week we will have an “extraordinary” invited talk ( organized by Christopher Beckham) on Monday :) The regular tea talk will also be back on Friday ( announcement to come!)
See you there,
The Tea Talk Team
*TITLE * Automated Machine Learning using* OpenML.org http://OpenML.org*
*ABTRACT* Algorithm Selection and Hyperparameter Optimization are two laborious but viable components of the Machine Learning pipeline. The field of Automated Machine Learning (AutoML) focusses, as the name suggests, on automating these processes. Automated Machine Learning builds upon knowledge from previous experiments. In this talk I will introduce OpenML.org, an on line platform containing almost 10 million Machine Learning experiments and 20,000 monthly unique visitors. Furthermore, I will talk about some of the projects that utilize this knowledge, in particular for determining which hyperparameters are most important and how to optimize them based on prior knowledge.
*BIO* Jan van Rijn is founder of the OpenML Foundation, for Open Machine Learning research. He has authored several publications related to Data Science, Automated Machine Learning (AutoML) and Artificial Intelligence. He is currently a post-doctoral researcher at Columbia University in New York. For a complete and up to date list of his publications, please see his Google Scholar profile: https://scholar.google.com/citations?user=O4X5CpwAAAAJ
-- You received this message because you are subscribed to the Google Groups "MILA Tous" group. To unsubscribe from this group and stop receiving emails from it, send an email to mila-tous+unsubscribe@mila.quebec.
lisa_seminaires@iro.umontreal.ca
-
Christopher Beckham -
Rim Assouel