Online learning represents a family of machine learning methods, where a learner attempts
to tackle some predictive (or any type of decision-making) task by learning from a sequence …

Online portfolio selection is a fundamental problem in computational finance, which has
been extensively studied across several research communities, including finance, statistics …

Financial portfolio management is the process of constant redistribution of a fund into
different financial products. This paper presents a financial-model-free Reinforcement …

Financial risk management avoids losses and maximizes profits, and hence is vital to most
businesses. As the task relies heavily on information-driven decision making, machine …

Portfolio management is the decision-making process of allocating an amount of fund into
different financial investment products. Cryptocurrencies are electronic and decentralized …

On-line portfolio selection is a practical financial engineering problem, which aims to
sequentially allocate capital among a set of assets in order to maximize long-term return. In …

Quantitative trading (QT), which refers to the usage of mathematical models and data-driven
techniques in analyzing the financial market, has been a popular topic in both academia and …

Portfolio Selection is an important real-world financial task and has attracted extensive
attention in artificial intelligence communities. This task, however, has two main difficulties:(i) …

A mean function in a reproducing kernel Hilbert space (RKHS), or a kernel mean, is central
to kernel methods in that it is used by many classical algorithms such as kernel principal …

Portfolio selection is an important application of AI in the financial field, which has attracted
considerable attention from academia and industry alike. One of the great challenges in this …