The L-BFGS paper refers to a foundational work that introduced the Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS) algorithm, which is a popular optimization technique for solving large-scale nonlinear problems. This method is particularly useful because it reduces memory usage compared to the traditional BFGS method while still maintaining efficient convergence properties, making it suitable for applications in machine learning and data analysis.
congrats on reading the definition of L-BFGS Paper. now let's actually learn it.