Stochastic Optimization and Sparse Statistical Recovery: An Optimal Algorithm for High Dimensions

Stochastic Modeling: Definition, Uses, and Advantages

Stochastic Approximation and Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms

Stochastic Model / Process: Definition and Examples

Solving Simple Stochastic Optimization Problems with Gurobi - Gurobi Optimization

Approximation Techniques for Stochastic Optimization Problems

Stochastic Optical Reconstruction Microscopy Applications

On momentum methods and acceleration in stochastic optimization

LPs and Convex Programming Relaxations and Rounding for Stochastic Problems