Sparsity in Large Scale Optimization and Machine Learning Dr. Yury Maximov Los Alamos National Laboratory Theoretical Division T-4 and CNLS Abstract: In this talk, I cover our recent results on the complexity of convex optimization methods for solving high-dimensional machine learning and statistical estimation problems. The primary focus of this research is hidden problem sparsity that numerical algorithms could utilize …
Mathematics Department Calendar