v UCSD Optimization Seminar

UCSD Optimization and Data Science Seminar (Math 278C)

Wednesday 3-4pm, runs in zoom or in-person models.

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

Don't forget to register Math 278C if you are a graduate student.

Winter Quarter, 2023

Date Speaker Talk Title
01/17 Linghao Zhang
(UCSD)
Polynomial Optimization over Unions of Sets
01/24 Alexander Strang
(UC Berkeley)
Solution Continuation Methods for Bayesian Estimation and Sampling
01/31 Jiyoung Choi
(UCSD)
Generalized Nash Equilibrium Problems
02/07 Xiaomeng Hu
(UCSD)
Positivstellensätze and Moment problems with Universal Quantifiers
02/14 Yian Ma
(UCSD)
MCMC, variational inference, and reverse diffusion Monte Carlo
02/21 Jiajia Wang
(UCSD)
The Multi-Objective Optimization
02/28 Tamas Terlaky
(Lehigh Univ.)
Novel Quantum Interior Point Methods with Iterative Refinement for Linear and Semidefinite Optimization
03/06 Tingting Tang
(SDSU)
On computing the nonlinearity interval and MAPs of SDPs

Previous Seminars

  • Fall 2023
  • Spring 2023
  • Winter 2023
  • Fall 2022
  • Spring 2022
  • Winter 2022
  • Fall 2021
  • Spring 2021
  • Winter 2021
  • Fall 2020
  • Fall 2019
  • Spring 2019
  • Winter 2019
  • Fall 2018
  • Spring 2018
  • Winter 2018
  • Fall 2017
  • Spring 2017
  • Winter 2017