The Asian Conference on Machine Learning (ACML) is an international conference aiming at providing a leading international forum for researchers in machine learning and related fields to share their new ideas, progress and achievements. The conference calls for high-quality, original research papers in the theory and practice of machine learning. The conference also solicits proposals focusing on frontier research, new ideas and paradigms in machine learning.

The 11th Conference will take place on November 17 – 19, 2019 at WINC AICHI, Nagoya, Japan, after previous conferences held in locations throughout the Asia-Pacific region such as Beijing, China (2018), Seoul, Korea (2017), Hamilton, New Zealand (2016)… Submissions from regions other than the Asia-Pacific are also highly encouraged.

This year, a paper from the DSADIS team was accepted and presented by Guillaume Staermann:

Functional Isolation Forest
By Guillaume Staermann, Stephan Clémençon, Pavlo Mozharovskyi and Florence d’Alché-Buc.
In the Proceedings of ACML, 2019.