This bibliometric review examines the research state of artificial intelligence (AI) and
machine learning (ML) applications in the BFSI (Banking, Financial Services and Insurance) …

Explainable Artificial Intelligence (XAI) models allow for a more transparent and
understandable relationship between humans and machines. The insurance industry …

Explainable artificial intelligence (XAI) is a group of techniques and evaluations that allows
users to understand artificial intelligence knowledge and increase the reliability of the results …

We investigate the risk control and dividend optimization problem of an insurance group in a
general setting and propose an innovative semi-analytical approach to the problem. The …

We introduce a new Langevin dynamics based algorithm, called the extended tamed hybrid
ε-order polygonal unadjusted Langevin algorithm (e-TH ε O POULA), to solve optimization …

This paper presents a survey on some of the recent progress on numerical solutions for
controlled switching diffusions. We begin by recalling the basics of switching diffusions and …

We consider an insurance company which faces financial risk in the form of insurance
claims and market-dependent surplus fluctuations. The company aims to simultaneously …

This paper develops a new deep learning algorithm to solve a class of finite-horizon mean-
field games. The proposed hybrid algorithm uses Markov chain approximation method …

We propose a new machine learning-based framework for long-term mortality forecasting.
Based on ideas of neighboring prediction, model ensembling, and tree boosting, this …

In this paper, we present some numerical methods for solving a mean-variance portfolio
selection problem. Specifically, we study closed-loop equilibrium strategies for mean …