v UCSD Optimization Seminar

UCSD Optimization and Data Science Seminar (Math 278C)

Wednesday 3-4pm, runs in zoom (unless otherwise specified)

The Zoom Meeting link is
https://ucsd.zoom.us/j/94030298286?pwd=TTk1bi9QY1liS1VVbGdPMnVPTXc3dz09
Meeting ID: 940 3029 8286
Password: 278CWN23

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
January 18
(3:00-4:00pm)
Wotao Yin
(Alibaba Group)
Learning to Optimize and Some Recent Advances
(This talk is in room APM 5829, not in zoom)
January 25 Shmuel Friedland
(UIC)
The complexity of computation of the minimum of certain convex functions
February 1 Johannes Muller
(IMPRS MiS, Leipzig)
Geometry of Markov decision processes
February 8
(12:00-1:00 PST)
Na Li
(Harvard)
Scalable distributed control and learning of networked dynamical systems
February 15 Mohsen Aliabadi
(UCSD)
On the complexity of finding tensor ranks
February 22 Jane Ye
(Univ. of Victoria)
Difference of convex algorithm for bilevel programs with applications in hyperparameter selection
(This talk is in room APM 7321, not in zoom)
March 1 Mihai Putinar
(UCSB)
Analysis of principal semi-algebraic sets
April 5 Lijun Ding
(IFDS, University of Wisconsin/Washington)
Semidefinite programming in data science: good conditioning and computationally efficient methods
(This talk is in room APM 7321, not in zoom)
April 12 Linghao Zhang
(UCSD)
Optimizing Polynomial Functions Over Unions of Semialgebraic Sets
(This talk is in room APM 7321, not in zoom)
April 26 Xiaomeng Hu

May 3 Jiyoung Choi

May 10

May 17

May 24


Previous Seminars

  • 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