CALL FOR ABSTRACTS Workshop for Women in Machine Learning Co-located with NIPS 2013, Lake Tahoe, Nevada, USA December 5, 2013 http://www.wimlworkshop.org<http://www.wimlworkshop.org/>
Deadline for abstract submissions: September 16, 2013 WORKSHOP DESCRIPTION The Workshop for Women in Machine Learning is a day-long event taking place on the first day of NIPS. The workshop aims to showcase the research of women in machine learning and to strengthen their community. The event brings together female faculty, graduate students, and research scientists for an opportunity to connect, exchange ideas, and learn from each other. Underrepresented minorities and undergraduates interested in pursuing machine learning research are encouraged to participate. While all presenters will be female, all genders are invited to attend. Scholarships will be provided to female students and postdoctoral attendees with accepted abstracts to partially offset travel costs. Workshop registration is free. WORKSHOP FORMAT The one-day workshop will consist of invited talks by established female researchers, oral presentations, a poster session, a panel discussion to address current research trends and career choices in machine learning, and mentoring meetings. All meals are included with the free registration. ABSTRACT SUBMISSION We strongly encourage women in all areas of machine learning to submit an abstract (500 words or less) describing either new or previously published research. Authors of accepted abstracts will be invited to present their work in the poster session. A few authors will be selected to give oral presentations (15 minutes). Abstracts should be submitted via the workshop website: http://www.wimlworkshop.org<http://www.wimlworkshop.org/> You can reach us with any questions at wimlworkshop[at]gmail[dot]com Important Dates * September 16, 2013 - Abstract Submission Deadline * October 15, 2013 - Notification of Acceptance * November 5, 2013 - Registration Deadline * December 5, 2013 - WiML Workshop WiML 2013 Organizers: Jennifer Healey (Intel, Santa Clara) Katie Kinnaird (Dartmouth College, Hanover) Zornitsa Kozareva (Information Sciences Institute, Marina del Rey) Talieh S. Tabatabaei (University of Waterloo, Waterloo, Canada) Sonia Todorova (Carnegie Mellon University, Pittsburgh)
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