The scope of application of generative artificial intelligence (GAI) in industrial functions is
gaining high prominence in academic and industrial discourses. In this article, we explore …

Most linear experimental design problems assume homogeneous variance, while the
presence of heteroskedastic noise is present in many realistic settings. Let a learner have …

In dynamic discrete choice models, a commonly studied problem is estimating parameters of
agent reward functions (also known as' structural'parameters) using agent behavioral data …

Interpretable image classification is crucial for making decisions in high-stakes scenarios.
Recent advancements have demonstrated that interpretable models can achieve …

Adaptive experimental design (AED) methods are increasingly being used in industry as a
tool to boost testing throughput or reduce experimentation cost relative to traditional A/B/N …

The rapid expansion of technology offers the potential for gaining a competitive edge by
incorporating new data-driven strategies into digital marketing campaigns. By utilizing …

This research centres on investigating the facial emotional dynamics inherent in viral
marketing, elucidating the influence of content, audience demographics, platform attributes …