UCSD Optimization and Data Science Seminar (Math 278C)

Wednesday 3-4pm, AP&M 7421 (unless specified)

This seminar gives talks in the broad area of Optimization and Data Science and various aspects, applications.

Don't forget to register Math 287C if you are a graduate student.

Winter Quarter, 2019

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)

Previous Seminars

  • Fall 2018
  • Spring 2018
  • Winter 2018
  • Fall 2017
  • Spring 2017
  • Winter 2017