Fall 2015 Schedule
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Revision as of 12:39, 24 July 2015 by CompSemUser (talk | contribs)
| 2015.8.26 | Min Zhang - Title / Abstract to Follow |
| 2015.9.2 | |
| 2015.9.9 | |
| 2015.9.16 | Stephen Becker - "Matrix Completion and Robust PCA: new data analysis tools". Matrix completion is a generalization of compressed sensing that seeks to determine missing matrix entries under some (non-Bayesian) assumptions about the matrix. The technique has generated a lot of excitement due to rigorous guarantees in some case, and also due to applications to machine learning (e.g., the Netflix prize problem). This talk discusses basic matrix completion, including efficient algorithms suitable for big data, as well as an extension of matrix completion known as robust PCA, which can handle large outliers in the data. We continue with several applications: inferring the structure of chromosomes, functional imaging of the brain, removing clouds from multi-spectral satellite image data, and verifying the properties of a quantum state or a quantum gate. http://amath.colorado.edu/faculty/becker/ |
| 2015.9.23 | |
| 2015.9.30 | |
| 2015.10.7 | |
| 2015.10.14 | |
| 2015.10.21 | |
| 2015.10.21 | |
| 2015.10.28 | |
| 2015.11.4 | |
| 2015.11.11 | |
| 2015.11.18 | |
| 2015.11.25 | Fall break |
| 2015.12.2 | |
| 2015.12.9 |
