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Probabilistic smallest enclosing ball in high dimensions via subgradient sampling
This is achieved via a novel combination of sampling techniques for clustering problems in metric spaces with the framework of stochastic subgradient descent.
Scalable Learning of Item Response Theory Models
Item Response Theory (IRT) models aim to assess latent abilities of $n$ examinees along with latent difficulty characteristics of $m$ test items from categorical data that indicates the quality of their corresponding answers.
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