Efficient Zeroth-Order Proximal Stochastic Method for Nonconvex Nonsmooth Black-Box Data Mining
Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic gradient descent variants.
A collection of stochastic proximal gradient methods for composite non-convex problems.
smoothing the NGSIM US-101 trajectory dataset using Savitzky-Golay Filter
deep learning for image processing including classification and object-detection etc.