Abstract: In this paper, a variational Bayesian framework for simultaneous input and state estimation (VBSISE) is proposed. In VBSISE, probability density functions (PDFs) are assigned to inputs, with ...

Abstract: Pairwise learning underpins implicit collaborative filtering, yet its effectiveness is often hindered by sparse supervision, noisy interactions, and popularity-driven exposure bias. In this ...

<span class='kw'><a href='https://rdrr.io/r/base/library.html'>library</a></span><span class='op'>(</span><span class='va'><a href='https://mc-stan.org/cmdstanr ...

We introduce HERCULES (Hierarchical Bayesian model with Variational inference and functional Annotation integration for Cross-ancestry prediction), a novel cross-population PRS framework employing a ...