CiML 2014

NIPS 2014 workshop
December 12, 2014, Montreal, Canada
Palais des Congrès de Montréal
Convention and Exhibition Center
Level 5; room 511 c

[AutoML challenge][Schedule][Invited Speakers][Committee][Organizers]


Challenges in Machine Learning have proven to be efficient and cost-effective ways to quickly bring to industry solutions that may have been confined to research. In addition, the playful nature of challenges naturally attracts students, making challenge a great teaching resource. Challenge participants range from undergraduate students to retirees, joining forces in a rewarding environment allowing them to learn, perform research, and demonstrate excellence. Therefore challenges can be used as a means of directing research, advancing the state-of-the-art or venturing in completely new domains. 

Yet, despite initial successes and efforts made to facilitate challenge organization with the availability of competition platforms, little effort has been put into the theoretical foundations of challenge design and the optimization of challenge protocols. This workshop will bring together challenge organizers, platform providers, and participants to discuss best practices in challenge organization and new methods and application opportunities to design high impact challenges. The themes to be discussed will include new paradigms of challenge organization to tackle complex problems (e.g. tasks involving multiple data modalities and/or multiple levels of processing).

Important dates

Abstract submission deadline: October 9th, 2014.
Acceptance decisions: October 23rd, 2014.
Finalized program: October 30th, 2014.
Early bird registration: November 7, 2014 (attendants must register to the NIPS workshop)

Invited speakers

Percy Liang

 Percy Liang, Stanford, USA: 

Olga Russakovsky

Olga Russakovsky, Stanford USA:
The ImageNet project
Rinat Sergeev

Rinat Sergeev,
Harvard, USA: 
The NASA tournament lab
Gabor Melis

Gabor Melis, Franz Inc., Hungary:
A serial winner
Tim Salimans

 Tim Salimans, Algoritmica, The Nethelands:
A brilliant data scientist
Michele Sebag

 Michele Sebag, LRI, France: 
Pascal challenges
Gustavo Stolovitzky

Gustavo Stolovitzky, IBM, USA: 
DREAM challenges

Ben Hamner,
Kaggle, USA:
The Kaggle platform