Abstract Machine learning has emerged as a powerful tool in various fields, including
computer vision, natural language processing, and speech recognition. It can unravel …

Today, computer systems hold large amounts of personal data. Yet while such an
abundance of data allows breakthroughs in artificial intelligence, and especially machine …

In Machine Learning, the emergence of the right to be forgotten gave birth to a paradigm
named machine unlearning, which enables data holders to proactively erase their data from …

Machine learning develops rapidly, which has made many theoretical breakthroughs and is
widely applied in various fields. Optimization, as an important part of machine learning, has …

Numerous intriguing optimization problems arise as a result of the advancement of machine
learning. The stochastic first-order method is the predominant choice for those problems due …

The standard L-BFGS method relies on gradient approximations that are not dominated by
noise, so that search directions are descent directions, the line search is reliable, and quasi …

Scientific Machine Learning (SciML) and Artificial Intelligence (AI) will have broad use and
transformative effects across the Department of Energy. Accordingly, the January 2018 Basic …

Concrete mix design is a complex and multistage process in which we try to find the best
composition of ingredients to create good performing concrete. In contemporary literature, as …

Bridge infrastructure asset management system is a prevailing approach toward having an
effective and efficient procedure for monitoring bridges through their different development …

Slow running or straggler tasks can significantly reduce computation speed in distributed
computation. Recently, coding-theory-inspired approaches have been applied to mitigate …