seminars:stat:210429 [Department of Mathematics and Statistics, Binghamton University]

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<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>

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^  **DATE:**|Thursday, April 29, 2021 |
^  **TIME:**|1:15pm -- 2:15pm |
^  **LOCATION:**|Zoom meeting |
^  **SPEAKER:**|Shaofei Zhao, Binghamton University |
^  **TITLE:**|Convex Regularization for High-Dimensional Multi-Response Tensor Regression  |
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<WRAP centeralign>**Abstract**</WRAP>
of the paper by Garvesh Raskutti, Ming Yuan and Han Chen

As the cost of generating data decreases, now we can get access to bigger
data, both in size and in dimensions. We call arrays with more than 2
dimensions tensors. In this seminar, we will firstly introduce the notation
and concept of tensors, their calculation and decompositions. After that,
we will focus on multi-response tensor regression, and consider a general
convex optimization approach under low-dimensional structural assumptions.
Finally we will present a numerical study.
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