This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.

Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data offers the potential to uncover more fin

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities. The interplay betw

This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problem

This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal