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--- seminars:stat:211021 [2021/10/11 13:53] – created qyu
+++ seminars:stat:211021 [2021/10/11 13:54] (current) – qyu
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+<WRAP centeralign>##Statistics Seminar##\\ Department of Mathematical Sciences</WRAP>
+<WRAP 70% center>
+^  **DATE:**|Thursday, October 21, 2021 |
+^  **TIME:**|1:15pm -- 2:15pm |
+^  **LOCATION:**|Zoom meeting |
+^  **SPEAKER:**|Baozhen Wang, Binghamton University |
+^  **TITLE:**|Covariate Shift by Kernel Mean Matching  |
+</WRAP>
+\\
+<WRAP center box 80%>
+<WRAP centeralign>**Abstract**</WRAP>
+Given sets of observations of training and test data, the
+authors consider the problem of re-weighting the training data such that
+its distribution more closely matches that of the test data. They achieve
+this goal by matching covariate distributions between training and test
+sets in a high dimensional feature space (specifically, a reproducing
+kernel Hilbert space). This approach does not require distribution
+estimation. Instead, the sample weights are obtained by a simple quadratic
+programming procedure.
+</WRAP>