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seminars:stat:210429 [2021/04/23 12:21] – created qyuseminars:stat:210429 [2021/04/23 12:22] (current) qyu
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 +<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
 +
 +<WRAP 70% center>
 +^  **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  |
 +</WRAP>
 +\\ 
 +
 +<WRAP center box 80%>
 +<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.
 +</WRAP>
 +
 +
 +
 +