Shuffling-based Stochastic Optimization Methods: Bridging the Theory-practice Gap

Explore shuffling-based stochastic optimization methods in this hour-long lecture that aims to bridge the gap between theory and practice. Delve into the intricacies of these methods and gain insights into their applications in real-world scenarios. Discover how these techniques can be effectively implemented to solve complex optimization problems across various fields.

Bridging the Theory-practice Gap