Mia Kramer
Mia is a graduate student at the University of British Columbia, working with Michael Friedlander. She's been interested in computers and programming since being in elementary school, and after finishing her undergraduate in astrophysics at UBC she is very excited to continue learning in (and hopefully contributing to!) the field.
Session
We present AtomicSets.jl, a Julian framework for structured convex optimization. Algorithms for structured optimization build up a solution from a set of prescribed atoms that represent simple structures. The atoms that participate in the final solution often represent key explanatory components of a model. We use Julia's dispatch system to implement a calculus of convex sets and their functional representations that compiles to efficient machine code.