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

[Han Zhao]

A gentle reminder that the talk will be tomorrow (Tuesday) noon at *GHC
6115*. See you then!

Han Zhao <han.zhao at cs.cmu.edu> 于2018年9月7日周五 下午2:56写道：

> 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*
>


-- 

*Han ZhaoMachine Learning Department*


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