Schedule
The event is collocated with ECML-PKDD 2017 and will take place on Friday, September 22, 2017.
It will include a tutorial in the morning and a workshop in the afternoon.
Tutorial
9:00 - 10:40 Session 1 (1h40 min)
Introduction
Blackbox hyperparameter optimization and automated machine learning
Algorithm configuration
Meta-Learning for Algorithm Selection
10:40 - 11:00 Coffee break (20 min)
11:00 - 12:40 Session 2 (1h40 min)
Beyond blackbox optimization
AutoML on streaming data
Meta-learning for Automating workflow design
AutoML systems and applications
The big picture: machine learning for automated algorithm design
Presenters: Pavel Brazdil, Joaquin Vanschoren, Frank Hutter, Holger Hoos
Lunch break
12:40 - 14:00 (1h20 min.)
Workshop
14:00 - 15:40 Session 1 (100 min.)
Welcome (5 min.)
Invited Talk by Michele Sebag (30 +10 min.):
Stochastic Gradient Descent: Going as Fast as Possible but not Faster
Poster spotlights 1 (nº 1,3,5,6 in Accepted papers page, 4 min. each)
Poster session 1 (40 min.)
15:40 - 16:00 Coffee break (20 min.)
16:00 - 17:40 Session 2 (100 min.)
G Verbruggen and L de Raedt:
Towards Automated Relational Data Wrangling (20+5 min)
G Contardo, L Denoyer and T Artieres:
A Meta-Learning Approach to One-Step Active-Learning (20+5 min)
Poster spotlights 2 (nº 7,8,9 in Accepted papers page, 4 min. each +
nº 10,11 in Accepted papers page, 2 min. each)
Poster session 2 (35 min.)
17:40-18:40 Session 3 (Extra session) (60 min.)
Poster session 3 (25 min.)
Panel & Commentaries on some papers & research lines (30 min.) -> 18:10
Closing (5 min)