statml.cs.cmu.edu

Statistics and Machine Learning Working Group: Home

Welcome to the homepage of the. Statistics and Machine Learning Working Group. At Carnegie Mellon University. We are group of faculty and students in Statistics and Machine Learning broadly interested in research at the intersection of these two disciplines. Unless otherwise notified, our regular meeting is on Weds 2-3pm in GHC-8102. Every week. Please email vsadhana AT cs.cmu.edu. If you would like join our mailing list. If you would like to present in an upcoming meeting, please signup here. Speaker: J...

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Statistics and Machine Learning Working Group: Home | statml.cs.cmu.edu Reviews

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Welcome to the homepage of the. Statistics and Machine Learning Working Group. At Carnegie Mellon University. We are group of faculty and students in Statistics and Machine Learning broadly interested in research at the intersection of these two disciplines. Unless otherwise notified, our regular meeting is on Weds 2-3pm in GHC-8102. Every week. Please email vsadhana AT cs.cmu.edu. If you would like join our mailing list. If you would like to present in an upcoming meeting, please signup here. Speaker: J...

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Statistics and Machine Learning Working Group: Home | statml.cs.cmu.edu Reviews

https://statml.cs.cmu.edu

Welcome to the homepage of the. Statistics and Machine Learning Working Group. At Carnegie Mellon University. We are group of faculty and students in Statistics and Machine Learning broadly interested in research at the intersection of these two disciplines. Unless otherwise notified, our regular meeting is on Weds 2-3pm in GHC-8102. Every week. Please email vsadhana AT cs.cmu.edu. If you would like join our mailing list. If you would like to present in an upcoming meeting, please signup here. Speaker: J...

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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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Statistics and Machine Learning Working Group: Publications

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

A Comprehensive Approach to Mode Clustering. Yen-Chi Chen, Christopher R. Genovese, and Larry Wasserman. Electronic Journal of Statistics 10(1). Yen-Chi Chen, Christopher R. Genovese, Ryan J. Tibshirani, and Larry Wasserman. The Annals of Statistics 44(2). Statistical Inference for Cluster Trees. Yen-Chi Chen, Jisu Kim, Sivaraman Balakrishnan, Alessandro Rinaldo, and Larry Wasserman. Active Learning Algorithms for Graphical Model Selection. Sangwon Hyun, Max G'Sell, and Ryan Tibshirani. Proceedings of th...

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Statistics and Machine Learning Working Group: List of Past Talks

http://statml.cs.cmu.edu/blog

List of Past Talks. Raquo; A Grothendieck-type inequality for local maxima. Raquo; Algorithmic and statistical perspectives of randomized sketching for ordinary least-squares. Raquo; Graph Sparsification Approaches for Laplacian Smoothing. Raquo; Doubly Stochastic Primal-Dual Coordinate Method for Empirical Risk Minimization. Raquo; Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning. Raquo; Post-Regularization Inference for Dynamic Nonparanormal Graphical Models. Raquo; Internal Inference.

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Education | Civil Statistician

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Stats, datavis, edu, brains, etc. Stats Edu and Jobs. Seminar on Active Learning pedagogy. May 18, 2016. I’ve joined an Eberly Center. Seminar / reading group on the educational approach known as Active Learning (AL). Obviously our Statistics department should use Active Learning, the educational technique. To teach a course on Active Learning, the approach to experimental design. We can call it Active Active Learning Learning.]. Continue reading →. After 5th semester of statistics PhD program. 8220;High...

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Statistics | Civil Statistician

http://civilstat.com/category/statistics

Stats, datavis, edu, brains, etc. Stats Edu and Jobs. PSA: R’s rnorm() and mvrnorm() use different spreads. June 17, 2016. Quick public service announcement for my fellow R nerds:. R has two commonly-used random-Normal generators:. I was foolish and assumed that their parameterizations were equivalent when you’re generating univariate data. But nope:. Base R can generate univariate draws with. Rnorm(n, mean, sd). Which uses the standard deviation for the spread. Mvrnorm(n, mu, Sigma). May 20, 2016. And t...

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statml.cs.cmu.edu

Statistics and Machine Learning Working Group: Home

Welcome to the homepage of the. Statistics and Machine Learning Working Group. At Carnegie Mellon University. We are group of faculty and students in Statistics and Machine Learning broadly interested in research at the intersection of these two disciplines. Unless otherwise notified, our regular meeting is on Weds 2-3pm in GHC-8102. Every week. Please email vsadhana AT cs.cmu.edu. If you would like join our mailing list. If you would like to present in an upcoming meeting, please signup here. Speaker: J...

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