An Interior-Point Framework for Large-Scale Nonconvex Optimization with Sparse Structure
SIAM Journal on Optimization
National University of Mongolia
We develop mathematical methods for real-world problems — from optimization and modeling to data science — and train the next generation of applied mathematicians in Mongolia.
Weekly paper-reading seminar on the mathematical foundations of modern machine learning: optimization landscapes, generalization theory, and kernel methods.
Autumn-semester study group working through Evans' PDE book, with an emphasis on methods used in current research at the center.
A hands-on workshop series on the practice of data science: data wrangling, statistical modeling, machine learning pipelines, and communicating results.
SIAM Journal on Optimization
Journal of Applied Probability
Environmental Modelling & Software
arXiv