[Ml-stat-talks] Workshop for Women in Machine Learning: Call for Abstracts

David Blei blei at CS.Princeton.EDU
Thu Aug 9 16:55:42 EDT 2012

hi ml-stat-talks

while not technically about ml-stat-talks at princeton, this year's
workshop for women in machine learning is co-organized by one of our
distinguished alumni (tamara broderick).  see the announcement below.




Workshop for Women in Machine Learning
Co-located with NIPS 2012, Lake Tahoe, Nevada, USA
December 3, 2012

Deadline for abstract submissions: September 15, 2012


Machine learning is one of the fastest growing areas of computer
science research. Search engines, recommendation systems, spam
filtering and fraud detection, computational social science, market
prediction, speech and handwriting recognition, natural language
processing, vision systems, DNA sequence analysis and healthcare are
just some of the applications in which machine learning is routinely

In spite of the wide reach of machine learning and its growing
importance, the percentage of female researchers remains quite low. In
a survey of the major machine learning conferences from 2006-2009,
women only made up about 10-14% of the reviewers and 11% of senior
program committee members. Most women working in machine learning
rarely have the chance to interact with other female researchers and
can easily feel isolated and have difficulty finding role models.

This day-long workshop aims at strengthening the small community of
women in machine learning and fostering connections between them. It
gives female faculty, research scientists, and graduate students in
the machine learning community an opportunity to meet, exchange ideas,
and learn from each other. Underrepresented minorities and
undergraduates interested in pursuing machine learning research are
encouraged to participate.

Scholarships will be provided to female student and postdoctoral
attendees with accepted abstracts to offset travel costs.

Workshop registration is free.


The one-day workshop will consist of talks by established female
researchers, a poster session for attendees to showcase their
research, a panel discussion to address current research trends and
career choices in machine learning, and a one-to-one mentoring program
where participants can meet up with a mentor during a mutually
convenient time.


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 asked to
present their work in a poster session (Four or five abstracts of high
quality will be selected and presented as 15-minute talks).

Abstracts should be submitted via the workshop website:

Important Dates
* September 15, 2012 - Abstract Submission Deadline
* October 15, 2012 - Notification of Acceptance
* November 1, 2012 - Registration Deadline
* December 3, 2012 - WiML Workshop

WiML 2012 Organizers
Tamara Broderick (University of California, Berkeley)
Minmin Chen (Washington University in Saint Louis)
Pallika Kanani (Oracle Labs)
Tejaswini Narayanan (University of California, San Diego)
Faculty Advisor: Raquel Urtasun (Toyota Technological Institute at Chicago)

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