Hardware Optimizations for Optimization | Mirror Descent for Metric Learning
Victor’s Abstract: How we used system programming techniques to tune convex optimization solvers. I demonstrate how understanding the hardware can influence the runtime of Nonnegative Matrix Factorization (NMF). ————————————- Gautam’s Abstract: Most metric learning methods are characterized by diverse loss functions and projection methods, which naturally begs the question: is …