- Series
- Job Candidate Talk
- Time
- Thursday, January 16, 2025 - 1:00pm for 1 hour (actually 50 minutes)
- Location
- Skiles 006
- Speaker
- Julia Lindberg – University of Texas, Austin – julia.lindberg@math.utexas.edu – https://sites.google.com/view/julialindberg/home
- Organizer
- Greg Blekherman
Applied algebraic geometry is a subfield of applied mathematics that utilizes concepts, tools, and techniques from algebraic geometry to solve problems in various applied sciences. It blends tools from algebraic geometry, optimization, and statistics to develop certifiable computational algebraic methods to address modern engineeering challenges.
In this talk, I will showcase the power of these methods in solving problems related to Gaussian mixture models (GMMs). In the first part of the talk I will discuss a statistical technique for parameter recovery called the method of moments. I will discuss how to leverage algebraic techniques to design scalable and certifiable moment-based methods for parameter recovery of GMMs. In the second part of this talk, I will discuss recent work relating to Gaussian Voronoi cells. This work introduces new geometric perspectives with implications for high-dimensional data analysis. I will also touch on how these methods complement my broader research in polynomial optimization and power systems engineering.
https://gatech.zoom.us/j/97398944571?pwd=s8S02kNZd5dyVvSY8mZzNOfbNZrqfg.1