Machine Learning Open Source Software 2018: Sustainable communities

When: Sat Dec 8th 08:00 AM — 06:30 PM, see workshop page at nips.cc

Where: Palais des Congrès de Montréal, Montréal, Canada

Machine learning open source software (MLOSS) is one of the cornerstones of open science and reproducible research. Once a niche area for ML research, MLOSS today has gathered significant momentum, fostered both by scientific community, and more recently by corporate organizations. The past mloss.org workshops, from NIPS’06 to ICML’15, successfully brought together researchers and developers from both fields, to exchange experiences and lessons learnt, to encourage interoperability between people and projects, and to demonstrate software to users in the ML community.

Continuing the tradition in 2018, this year’s workshop that is a mix of invited speakers (NumFOCUS, tidyverse, openML, GPFlow), contributed talks/demos, and discussion/activity sessions. This year’s headline aims to give an insight of the challenges faced by projects as they seek long-term sustainability, with a particular focus on community building and preservation, and diverse teams. See Call for Participation for submission details.

Important dates

  • Submission deadline: September 30, 2018, 11:59 pm UTC
  • Notification of acceptance: October 12, 2018
  • Workshop: December 8, 2018 (Saturday)

Invited speakers

The tentative list of speakers:

  • Gina Helfrich (NumFOCUS), the keynote talk
  • James Hensman (GPflow)
  • Mara Averick (tidyverse)
  • Joaquin Vanschoren (openML)

Sponsors

The workshop received financial support from:

We are grateful to our sponsors and will use the funding to support invited speakers and some student participants.

Organizers

This workshop is organized by a team of: