Date  Speaker  Title & Abstract 
January 17  Igor Klep (Univ. of Auckland) 
Linear Matrix Inequalities, Positivstellensatze and Coin Tossing

January 24  Eliz Wong (UCSD) 
ReducedHessian methods for boundconstrained optimization 
January 31  Danna Zhang (UCSD) 
Pearson's Chisquared statistics: approximation theory and beyond 
Feburary 7  Lingling Xu (NJNU) 
An exact penalty method for generalized Nash equilibrium problems 
Feburary 13  Zhonggang Zeng (NEIU) 
Numerical Solutions of Illposed Problems: A Geometric Perspective 
Feburary 14  Venkat Chandrasekaran (Caltech) 
Learning Regularizers from Data 
Feburary 21  Li Wang (UT Arlington) 
Graph Structure Learning based on Reversed Graph Embedding 
Feburary 28  Todd Kemp (UCSD) 
Entanglement of Symmetric Tensors 
March 7  Patricia Lamm (MSU) 

March 14  

Fall 2017 Spring 2017 Winter 2017