To machine learning pioneer Terry Sejnowski, the mathematical technique called stochastic gradient descent is the “secret sauce” of deep learning, and most people don’t actually grasp its ...

Most machine learning programs today rely heavily on the technique, and other fields also use it to analyze data and solve engineering problems. Mathematicians have been perfecting gradient descent ...

The demo uses stochastic gradient descent, one of two possible training techniques. There is no single best machine learning regression technique. When kernel ridge regression prediction works, it is ...

Neel, Seth, Aaron Leon Roth, and Saeed Sharifi-Malvajerdi. "Descent-to-Delete: Gradient-Based Methods for Machine Unlearning." Paper presented at the 32nd Algorithmic Learning Theory Conference, March ...

Function estimation/approximation is viewed from the perspective of numerical optimization in function space, rather than parameter space. A connection is made between stagewise additive expansions ...