Date | Speaker | Title & Abstract |
January 16 | Longde Wang (UCSD) |
Symmetric tensor decomposition for learning latent variable models
|
January 17 | Ying Cui (USC) |
Large Scale Semidefinite Programming:
Theory and Algorithms |
January 23 | Mareike Dressler (UCSD) |
A New Approach to Nonnegativity and
Polynomial Optimization |
January 30 | Lin Xiao (Microsoft) |
Accelerated Bregman Proximal Gradient Methods for Relatively Smooth
Convex Optimization |
February 6 | Xindong Tang (UCSD) |
A Gauss-Seidel typed Approach for solving
polynomial GNEP by SOS Relaxation |
February 13 | Suhan Zhong (UCSD) |
A Modified SAA Model on stochastic polynomial optimization problems |
February 20 | Zequn Zheng (UCSD) |
A method for nonsymmetric tensor decomposition and implementation |
March 6 | Yi-Shuai Niu (SJTU) |
On Polynomial Decompositions and DC Algorithms for Polynomial Optimization |
April 3 | Chengcheng Huang (Univ. Pittsburgh) |
|
May 8 | Ethan (PSU) |
|
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