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.

Fall Quarter, 2018

Date Speaker Title & Abstract
October 10 Long Chen
(UC Irvine) 		Convergence Proof of Full Approximation Scheme for Nonlinear Problems
October 24 Jinjie Zhang
(UCSD) 		Grothendieck Constant is Norm of Strassen Matrix Multiplication Tensor
October 31 Bingni Guo
(UCSD) 		Symmetric Tensor Decompositions for Learning Mixture of Gaussians
November 7 Lingling Xu
(Nanjing Normal University) 		Recent advances in non-convex generalized Nash equilibrium problems
November 8 Chunfeng Cui
(UCSB) 		Uncertainty quantification with Non-Gaussian Correlated Process Variations: Theory, Algorithms and Applications
November 14 Zi Yang
(UCSD) 		Tensor Decomposition Methods
December 5 Saeed Vahidian
(UCSD) 		Sparse Convex Optimization Methods for Machine Learning and Deep Learning
January 30 Lin Xiao
(Microsoft)

Previous Seminars

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