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Upcoming Events

Wenrui Hao - Department of Mathematics, Pennsylvania State University
Nov 25, 2019 - 1:50pm to 2:55pm
Department of Applied Mathematics - Colloquia - Siegal Hall, Room 118
In this talk, I will start a recent mathematical model that predicts the plaque formation by using the combined levels of (LDL, HDL) in the blood. The model is described by a system of partial differential equations with a free boundary. Then some numerical methods will be discussed to solve the... read more
Mon.
Nov 25
Scott Robertson - Questrom School of Business, Boston University
Feb 10, 2020 - 1:50pm to 2:55pm
Department of Applied Mathematics - Colloquia - Siegal Hall, Room 118
TBA
Mon.
Feb 10
Michael Tait - Department of Mathematical Sciences, Carnegie Mellon University
Mar 2, 2020 - 1:50pm to 2:55pm
Department of Applied Mathematics - Colloquia - Siegal Hall, Room 118
TBA
Mon.
Mar 2

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Konstantin Makarychev, Associate Professor, Department of Computer Science, Northwestern University
Nov 19, 2019 - 11:25am to 12:30pm
Department of Applied Mathematics - Seminar - RE 119
We investigate dimensionality reduction for Euclidean \(k\)-means and \(k\)-medians clustering. We show that the cost of the optimal solution for \(k\)-means and \(k\)-medians is preserved up to a factor of  \( (1+\varepsilon) \) under a projection onto a random  \( \log k\)dimensional... read more
Tue.
11/19/19
Mladen Kolar - Booth School of Business, University of Chicago
Nov 18, 2019 - 1:50pm to 2:55pm
Department of Applied Mathematics - Colloquia - Siegal Hall, Room 118
We present a recent line of work on estimating differential networksand conducting statistical inference about parameters in ahigh-dimensional setting. First, we consider a Gaussian setting andshow how to directly learn the difference between the graphstructures. A debiasing procedure will be... read more
Mon.
11/18/19
Lulu Kang, Associate Professor of Applied Mathematics, Illinois Tech
Nov 15, 2019 - 10:00am to 11:30am
Department of Applied Mathematics - Seminar - RE 242
A/B testing refers to the statistical procedure of conducting an experiment to compare two treatments applied to different testing subjects. The subjects participating in the online A/B testing experiments are users who are connected in social networks. Two connected users are similar in terms of... read more
Fri.
11/15/19

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