We propose two linear bandits algorithms with per-step complexity sublinear in the number
of arms $ K $. The algorithms are designed for applications where the arm set is extremely …

The increased number of breast cancer cases worldwide necessitates the development of
early breast abnormality detection techniques. Thermography serves as a promising …

Factorization machines (FMs) are machine learning predictive models based on second-
order feature interactions and FMs with sparse regularization are called sparse FMs. Such …

The scale of machine learning problems grows rapidly in recent years and calls for efficient
methods. In this dissertation, we propose simple and efficient methods for various large …

Portfolio investment is a passive investment since the investor is not actively involved in the
management of the stock corporation. It is the concept of pooling all of one's assets and …