Causality Causality Workbench                                                             Challenges in Machine Learning Causality

Causality Challenge #1: Causation and Prediction

WCCI08 workshop,
June 3-4, 2008, Hong-Kong Convention Center, Room 402

This workshop is part of the competition program of the competition program of the World Congress on Computational Intelligence (WCCI08).


Tuesday June 3

16:50-18:30 Reception and award ceremony

16:50 Award ceremony
17:10 Discussion: lessons learned, planning for future events
17:30-18:30 Reception

Wednesday June 4

14:00 Causality competition results -- Isabelle Guyon, Clopinet, Berkeley, California, USA
14:15 Feature Ranking Using Linear SVM -- Yin-Wen Chang, National Taiwan University
14:30 Causal and Non-causal Feature Selection for Ridge Regression -- Gavin Cawley, University of East Anglia, UK
14:45 The Partial Orientation and Local Structural Learning of DAGs for Prediction -- Jianxin Yin, Zhi Geng, M. Kuroki, Z. Cai et al., School of Mathematical Sciences, Peking University, Beijing 100871, China and Osaka University, Japan
15:00 A strategy for Making Predictions under Manipulations -- Laura Brown and Ioannis Tsamardinos, Vanderbilt Univ., US and Univ. of Crete, Greece
15:15 Random Sets Approach for Feature Selection -- Vladimir Nikulin, Suncorp, Brisbane, Australia
15:30 An Energy-based Model for Feature Selection -- Hugo Jair Escalante, Manuel Montes and Enrique Sucar, National Institute of Astrophysics, Optics and Electronics, Tonantzintla, Puebla, Mexico
15:45 Mixture Models for Markov Blanket Filtering and Classification -- Mehreen Saeed, National University of Computer and Emerging Sciences, Pakistan

Poster session
The posters will be viewed during the breaks.

  • Find the Relationship of Binary variable and Continuous variables -- Jinzhu Jia, School of Mathematical Sciences, Peking University,Beijing,China
  • Meeting the Causal Discovery Challenge with CaMML -- Julia Flores, Ann Nicholson, Owen Woodberry, Lloyd Allison, Rodney O’Donnell, Lucas R. Hope, and Kevin B. Korb, EPSA, Albacete, Spain and Monash University , Australia.
  • Importance of preprocessing and decision trees -- Ching-Wei Wang, University of Lincoln, UK

Fact sheets

The competitors are encouraged to document their methods by submitting fact sheets (MSWord template, PDF template).

Challenge proceedings

The proceedings have been published in Journal of Machine Learning Research Workshop and Conference Proceedings (JMLR W&CP).