Icebreaker: Element-wise Active Information Acquisition with Bayesian Deep Latent Gaussian Model

13 Aug 2019Wenbo GongSebastian TschiatschekRichard TurnerSebastian NowozinJosé Miguel Hernández-LobatoCheng Zhang

In this paper we introduce the ice-start problem, i.e., the challenge of deploying machine learning models when only little or no training data is initially available, and acquiring each feature element of data is associated with costs. This setting is representative for the real-world machine learning applications... (read more)

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