Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.

I tend to divide my workday into blocks. Within minutes of waking up — we’re usually up by 5.30 a.m. — I sit down to write at least one Inc. article. Then I spend four to five hours writing a book, ...