UCSD Optimization and Data Science Seminar (Math 278C)

Wednesday 3-4pm, AP&M 5829 (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, 2018

Date Speaker Title & Abstract
January 17 Igor Klep
(Univ. of Auckland)
Linear Matrix Inequalities, Positivstellensatze and Coin Tossing
January 24 Eliz Wong
Reduced-Hessian methods for bound-constrained optimization
January 31 Danna Zhang
Pearson's Chi-squared statistics: approximation theory and beyond
Feburary 7 Lingling Xu
An exact penalty method for generalized Nash equilibrium problems
Feburary 13 Zhonggang Zeng
Numerical Solutions of Ill-posed Problems: A Geometric Perspective
Feburary 14 Venkat Chandrasekaran
Learning Regularizers from Data
Feburary 21 Li Wang
(UT Arlington)
Graph Structure Learning based on Reversed Graph Embedding
Feburary 28 Todd Kemp
Entanglement of Symmetric Tensors
March 7 Anders Forsgren
(KTH, Sweden)
On the behavior of the method of conjugate gradients and quasi-Newton methods for solving an unconstrained quadratic program
March 14

Previous Seminars

  • Fall 2017
  • Spring 2017
  • Winter 2017