Dear Researchers

NOTE:    journal track deadline is 15/04/2020

The 12th Asian Conference on Machine Learning, Bangkok, Thailand (ACML
2020) aims to provide a leading international forum for researchers in
machine learning and related fields to share their new ideas, progress and
achievements.

Submissions from regions other than the Asia-Pacific are also highly
encouraged. It is planned to take place during November 18-20, 2020 in
Bangkok, Thailand, and is co-located with ICONIP2020.  And note that
allowance for presenters not able to be there in person due to travel
restrictions will be made.

The conference calls for high-quality, original research papers in the
theory and practice of machine learning.  Please refer to
http://www.acml-conf.org/2020/ for more details, and
http://acml-conf.org/2020/files/ACML2020-fullcall-v1.pdf for the call.

*Important Dates*

                       *Conference Track*
June 15, 2020             Submission Deadline
July 20-August 3, 2020    Author Rebuttal
August 12, 2020           Notification (accept, reject)
August 31, 2020           Camera-Ready Submission Deadline

                        *Journal Track*
April 15, 2020            Submission Deadline
June 1, 2020              1st round review results (accept, minor revision,
reject)
July 15, 2020             Revised manuscript submission deadline
August 30, 2020           Notification
September 15, 2020        Camera-Ready Submission Deadline

                       *Tutorials*
July 20, 2020             Tutorial Proposals due
August 04, 2020           Acceptance Notification
October 20, 2020          Tutorial material/website due
November 18, 2020         ACML Tutorials

                      *Workshops*
July 20, 2020             Workshop Proposals due
August 04, 2020           Acceptance Notification
October 13, 2020          Workshop material/website due
November 18, 2020         ACML Workshops

Wray Buntine
Professor, Director of Machine Learning Group

Monash University, Faculty of IT
Level 3, Room 326, Building 6
Clayton, VIC, 3800, Australia
E: [email protected]    W:  https://bayesian-models.org
<https://bayesian-models.org/about/>   Z:
https://monash.zoom.us/my/wbuntine

CRICOS Provider: Monash University 00008C/01857J
We acknowledge and pay respects to the Elders and Traditional Owners of the
land on which our four Australian campuses stand. Information for
Indigenous Australians

<https://www.monash.edu/indigenous-australians>
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