Proximal algorithms for nonsmooth optimization in Julia

Iterative shrinkage / thresholding algorithms (ISTAs) for linear inverse problems

A Julia package for adaptive proximal gradient and primal-dual algorithms

Test Cases for Regularized Optimization

Accelerated Proximal Gradient (APG) algorithm implementation for Nuclear Norm regularized linear Least Squares problem (NNLS).

Implementation and brief comparison of different First Order and different Proximal gradient methods, comparison of their convergence rates

Proximal Gradient/Semismooth Newton Methods for Projection onto a Polyhedron via the Duality-Gap-Active-Set Strategy

[Optimization algorithms] Study of the Proximal Gradient Method, Stochastic Gradient Descent method and Adam optimizer

Use neural network proximal gradient to guide a fuzzer’s input selection

Regularized methods for efficient ranking in networks

Some notes on convex optimization

Approximate Bregman proximal gradient algorithm

Unified implementation of MGProx.