Institute for Pure & Applied Mathematics (IPAM)
Using Algebraic Factorizations for Interpretable Learning - IPAM at UCLA
Explore Non-negative Matrix Factorization for interpretable learning in imaging, medicine, forecasting, and collaborative filtering. Learn implementation, online, and streaming variations.