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Yining Wang's homepage

School of Computer Science. Pittsburgh, PA, USA. Email: yiningwa at cs dot cmu dot edu. Ynwang dot yining at gmail dot com. I am a first year PhD student in the Machine Learning Department. At Carnegie Mellon University. My advisor is Aarti Singh. I am generally interested in statistical machine learning. Some topics that interest me include matrix completion. And approximation, column subset selection and subspace clustering. Previously I have worked on Bayesian nonparametric modeling. Research advisors...

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Yining Wang

Yining Wang

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Yining Wang

Yining Wang

Room 407A,●●●●●●●●●●nghua Univ

Be●●ng , NA, 100084

CN

1.15●●●●8700
yn●●●●●●●●●●●@gmail.com

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Yining Wang's homepage | yining-wang.com Reviews
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School of Computer Science. Pittsburgh, PA, USA. Email: yiningwa at cs dot cmu dot edu. Ynwang dot yining at gmail dot com. I am a first year PhD student in the Machine Learning Department. At Carnegie Mellon University. My advisor is Aarti Singh. I am generally interested in statistical machine learning. Some topics that interest me include matrix completion. And approximation, column subset selection and subspace clustering. Previously I have worked on Bayesian nonparametric modeling. Research advisors...
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1 education
2 experiences
3 publications
4 yining wang
5 phd student
6 machine learning department
7 carnegie mellon university
8 download cv
9 advisor aarti singh
10 tsinghua university
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Yining Wang's homepage | yining-wang.com Reviews

https://yining-wang.com

School of Computer Science. Pittsburgh, PA, USA. Email: yiningwa at cs dot cmu dot edu. Ynwang dot yining at gmail dot com. I am a first year PhD student in the Machine Learning Department. At Carnegie Mellon University. My advisor is Aarti Singh. I am generally interested in statistical machine learning. Some topics that interest me include matrix completion. And approximation, column subset selection and subspace clustering. Previously I have worked on Bayesian nonparametric modeling. Research advisors...

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I’m a bandit | Random topics on optimization, probability, and statistics. By Sébastien Bubeck

https://blogs.princeton.edu/imabandit

Random topics on optimization, probability, and statistics. By Sébastien Bubeck. ORF523: The complexities of optimization. Kernel-based methods for convex bandits, part 3. August 10, 2016. This post absolutely requires to have read Part 1. A key assumption at the end of Part 1. Was that, after rescaling space so that the current exponential weights distribution. Is isotropic, one has. Effectively this means that the estimated cumulative loss outside of the ball. Is infinite (recall that. Then it restarts...

statml.cs.cmu.edu statml.cs.cmu.edu

Statistics and Machine Learning Working Group: People

http://statml.cs.cmu.edu/people.html

Booth School of Business. At Carnegie Mellon University. Based on the UW Sampa group website.

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Yining Wang's homepage

School of Computer Science. Pittsburgh, PA, USA. Email: yiningwa at cs dot cmu dot edu. Ynwang dot yining at gmail dot com. I am a first year PhD student in the Machine Learning Department. At Carnegie Mellon University. My advisor is Aarti Singh. I am generally interested in statistical machine learning. Some topics that interest me include matrix completion. And approximation, column subset selection and subspace clustering. Previously I have worked on Bayesian nonparametric modeling. Research advisors...

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