[AI Seminar] AI Seminar sponsored by Apple -- Matt Barnes -- Sep. 11th

[Han Zhao]

Dear faculty and students:

We look forward to seeing you next Tuesday, Sep. 11th, at noon in
*GHC 6115* for AI Seminar sponsored by Apple. To learn more about the
seminar series, please visit the website <http://www.cs.cmu.edu/~aiseminar/>
.
On Tuesday, Matt Barnes <http://www.cs.cmu.edu/~mbarnes1/> will give the
following talk:

Title: Learning with Clusters: A cardinal machine learning sin and how to
correct for it

Abstract: As machine learning systems become increasingly complex,
clustering has evolved from an exploratory data analysis tool into an
integrated component of computer vision, robotics, medical and census data
pipelines. Currently, as with many machine learning systems, the output of
the clustering algorithm is taken as ground truth at the next pipeline
step. We show this false assumption causes subtle and dangerous behavior
for even the simplest systems -- sometimes biasing results by upwards of
25%.

We provide the first empirical and theoretical study of this phenomenon
which we term dependency leakage. Further, we introduce fixes in the form
of estimators and methods to both quantify and correct for clustering
errors' impacts on downstream learners. Our work is agnostic to the
downstream learners, and requires few assumptions on the clustering
algorithm. Empirical results demonstrate our approach improves these
machine learning systems compared to naive approaches, which do not account
for clustering errors.

This talk is based on the following two papers:
http://auai.org/uai2017/proceedings/papers/87.pdf
https://arxiv.org/abs/1807.06713

-- 

*Han ZhaoMachine Learning Department*


*School of Computer ScienceCarnegie Mellon UniversityMobile: +1-*
*412-652-4404*
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