Over half of cancer patients experience long-term pain management challenges.

Unluckily, compared to content-based image retrieval [5, 6, 7, 8, 9], IBSR is challenging due to the large appearance gap between 3D shapes and 2D images.

Ensembling has a long history in statistical data analysis, with many impactful applications. However, in many modern machine learning settings, the benefits of ensembling are less ubiquitous and less obvious.

A prominent example, which is the focus of this paper, is private machine learning, where a user often provides several points in the training data set.