In the past decade, semi-supervised learning (SSL) over graphs has gained popularity due
to its importance in a gamut of network science applications. While most of existing SSL …

The commutation angle, γ, of an interior permanent magnet synchronous motor's (IPMSM)
vector diagram, plays an important role in compensating the back electromotive force (back …

Labeled data can be expensive to acquire in several application domains, including medical
imaging, robotics, and computer vision. To efficiently train machine learning models under …

Prior beliefs about the latent function to shape inductive biases can be incorporated into a
Gaussian process (GP) via the kernel. However, beyond kernel choices, the decision …

Bayesian optimization (BO) has well-documented merits for optimizing black-box functions
with an expensive evaluation cost. Such functions emerge in applications as diverse as …

Graph-guided semi-supervised learning (SSL) has gained popularity in several network
science applications, including biological, social, and financial ones. SSL becomes …

Recent years have witnessed the emergence of mobile edge computing (MEC), on the
premise of a cost-effective enhancement in the computational ability of hardware …

Practical Bayesian learning often requires (1) online inference,(2) dynamic models, and (3)
ensembling over multiple different models. Recent advances have shown how to use …

Graph-guided semi-supervised learning (SSL) and inference has emerged as an attractive
research field thanks to its documented impact in a gamut of application domains, including …

Prior beliefs about the latent function to shape inductive biases can be incorporated into a
Gaussian Process (GP) via the kernel. However, beyond kernel choices, the decision …