COROPT Seminar Spring 2018
Organizers
Meeting Location and Time
Mondays 23PM in Rhodes Hall 253
Theme and Aims
The theme of this semester is “Statistics + Optimization.”
The aim of the seminar is to survey a recent thrust of work, occurring at the intersection of optimization and data science, which seeks to answer the following question:
When do statistical assumptions on input data lead to fast algorithms?
Key examples of this phenomenon: compressive sensing, matrix completion, phase retrieval, robust PCA, etc.
Talks
Anyone can volunteer to give a talk on their own research, provided it adheres to the theme. If you'd like to present, but do not have original research on the topic, please select several papers from either of the lists:
1. List 1
2. List 2
3. Three papers on SOS
and then email one of the organizers, or speak to them at the seminar.
This is a research and learning seminar. When presenting a paper, speakers should answer the following questions:
What are the authors trying to do?
How is it done today?
What are the limitations?
What are the future research directions?
