1 code implementation • 1 Nov 2023 • Schyan Zafar, Geoff K. Nicholls
These models represent the senses of a given target word such as "kosmos" (meaning decoration, order or world) as distributions over context words, and sense prevalence as a distribution over senses.
1 code implementation • 1 Apr 2022 • Chris U. Carmona, Geoff K. Nicholls
First, we give variational methods for approximating the Cut and SMI posteriors which are adapted to the inferential goals of evidence combination.
1 code implementation • 15 Mar 2020 • Chris Carmona, Geoff K. Nicholls
We give a meta-learning criterion and estimation procedure to choose the inference scheme.
no code implementations • 11 Feb 2020 • Robert Hu, Geoff K. Nicholls, Dino Sejdinovic
We outline an inherent weakness of tensor factorization models when latent factors are expressed as a function of side information and propose a novel method to mitigate this weakness.