Modern Optimization for Statistical Learning

3 credits · Graduate

Introduce several modern optimization algorithms which are useful in statistics and machine learning problems from a computational perspective. As most statistics and machine learning problems can be formulated as optimization problems, it is important for students to have a powerful toolbox of optimization algorithms. After taking the course, students are expected to acquire reasonable working skills to applying different algorithms to solve optimization problems practically. Prerequisite: Students are expected to have reasonable working knowledge on probability and linear algebra. Taking a programming/computing in the past is helpful, but not required.