We are excited to be holding the 14th MLCB meeting, co-located with NeurIPS in Vancouver. Registration is free of charge, but attendees are asked to register ahead of time, as we will host an informal reception on the 13th for networking and career discussions: https://mlcb.github.io/
New this year we will accept short (up to 4 pages excluding references) in two tracks: 1) Research track: Unpublished or recently published (i.e. in 2019) research on either a new learning method that yields new biological insights, or applies an existing learning method to a new biological problem. Submitters will be given the option later of making their short paper available online after the workshop. 2) Perspective track: position or review papers on important but controversial problems. Examples include different ways of conceptualizing the supposed dichotomy between interpretation and accuracy, over-interpretation from visual representations of high dimensional data, lack of statistical rigour in inferring conclusions from data and models. Papers should be submitted at https://easychair.org/conferences/?conf=mlcb2019 More details: https://mlcb.github.io/ (Free!) registration: https://forms.gle/ApJK8SeTmxfrw8NX9 Important dates Submissions due: **Extended: Oct 4th, 2019, 11:59pm Decision notification: Nov 4th, 2019 Workshop: Dec 13-14th, 2019 Invited Speakers Daphne Koller - insitro (USA) Quaid Morris - University of Toronto (Canada) Jennifer Listgarten - UC Berkeley (USA) William Stafford Noble - University of Washington (USA) Tentative schedule: Dec 13th - 1pm-5pm livestream viewing of the NeurIPS Learning Meaningful Representations of Life workshop Dec 13th - 5pm MLCB reception Dec 14th - 8am-5pm - MLCB workshop Organizers David A Knowles - Columbia & New York Genome Center (USA) Anshul Kundaje - Stanford (USA) Su-In Lee - University of Washington (USA) Sara Mostafavi - University of British Columbia (Canada) Gerald Quon - UC Davis (USA) James Zou - Stanford (USA) -- David A. Knowles, PhD. Core Faculty Member, New York Genome Center. Assistant Professor, Computer Science, Columbia University. Member, Data Science Institute, Columbia University. https://daklab.github.io/ _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
