UCSD Optimization and Data Science Seminar (Math 278C)

Wednesday 3-4pm, zoom (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 278C if you are a graduate student.

Spring Quarter, 2021

Date Speaker Talk Title
March 31 Beginning meeting

April 7 Zehua Lai
(Univ. of Chicago) 		Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False
April 14 Mengdi Wang
(Princeton) 		Regret bounds of model-based reinforcement learning
April 21 Massimiliano Di Ventra
(UCSD) 		Digital MemComputing: from logic to dynamics to topology
April 28 Xindong Tang
(UCSD) 		Generalized Nash Equilibrium Problems
May 5 Mareike Dressler
(UCSD) 		Multiple typical ranks in matrix completion
May 12 Zequn Zheng
(UCSD) 		Tensor decomposition and machine learning
May 19 Maddie Weinstein
(UC Berkeley) 		Metric Algebraic Geometry
May 26 Junyu Cao
(UT Austin) 		Adaptive Data Acquisition for Personalized Recommender Systems
June 2 Cendric Josz
(Columbia) 		Sparse polynomial interpolation: sparse recovery, super resolution, or Prony?

Previous Seminars

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