LPs and Convex Programming Relaxations and Rounding for Stochastic Problems

Stochastic Modeling: Definition, Uses, and Advantages

Modeling Market Prices Using Stochastic Processes

Approximation Techniques for Stochastic Optimization Problems

Approximation Algorithms for Discrete Stochastic Optimization Problems

Two basic problems in finite stochastic optimization - Microsoft Research

Lecture 4: Stochastic Thinking | Introduction to Computational Thinking and Data Science | Electrical Engineering and Computer Science | MIT OpenCourseWare

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