H O M E
About me: I am a
Killam postdoctoral fellow
in
machine learning working with
Kevin Murphy in the
department of computer science
at the
University of British Columbia.
I completed my PhD in
machine learning
in the
department of computer science at the
University of Toronto in 2008 working under
Rich Zemel.
I completed my master's degree in machine learning, also under Rich Zemel,
in 2004. I received my undergraduate degree from
McGill University in
mathematics and
computer science
in 2002.
Upcoming Papers:
Recent Papers:
PhD Thesis:
My PhD thesis is titled
Missing Data Problems in Machine Learning. It deals
with the problem of unsupervised learning in the presence of non-random missing
data, as well as the problem of classification in the presence of
missing features. The work on non-random missing data
is motivated by the problem of rating prediction in collaborative
filtering, and uses a new data set collected at
Yahoo! Research
with
Malcolm Slaney. The work on
classification with missing features focuses on medical decision making using
standard data sets, as well as higher dimensional tasks like digit classification
with missing pixels.
[Thesis Abstract]
[Thesis PDF]
[Short Defense Slides PDF]
[Long Defense Slides PDF]
Reading Groups: I maintain the website for the
Machine Learning and Computational Neuroscience
reading groups at UBC.
Email: bmarlin[at]cs[dot]ubc[dot]ca