Kalman-based Stochastic Gradient Method with Stop Condition and Insensitivity to Conditioning

Vivak Patel

Modern proximal and stochastic gradient descent (SGD) methods are believed to efficiently minimize large composite objective functions, but such methods have two algorithmic challe…