Personalization is one of the key applications in machine learning with widespread usage
across e-commerce, entertainment, production, healthcare and many other industries. While …

The dominant view in neuroscience is that changes in synaptic weights underlie learning. It
is unclear, however, how the brain is able to determine which synapses should change, and …

The user feedbacks could be delayed in many streaming recommendation scenarios. As an
example, the user feedbacks to a recommended coupon consist of the immediate feedback …

An Introduction to Universal Artificial Intelligence provides the formal underpinning of what it
means for an agent to act intelligently in an unknown environment. First presented in …

The construction of replication strategies for contingent claims in the presence of risk and
market friction is a key problem of financial engineering. In real markets, continuous …

Abstract We propose the Gaussian Gated Linear Network (G-GLN), an extension to the
recently proposed GLN family of deep neural networks. Instead of using backpropagation to …

The recommendation system has far-reaching significance and great practical value, which
alleviates people's troubles about choosing from a huge amount of information. The existing …

Over recent years, imaging systems have seen explosive increase in resolution. These
trends present a challenge for resource-constrained embedded imaging devices. Efficient …

Continual learning, which involves the incremental acquisition of knowledge over time, is a
challenging problem in complex environments where the distribution of data may change …