Semi-supervised learning has been reported to deliver encouraging results in various settings, e.g. for object detection in computer vision (Rasmus et al., 2015), protein function prediction from sequence data (Weston et al., 2005) or prediction of cancer recurrence (Shi & Zhang, 2011) in the

The technology helped them while harvesting the vast majority of their community's food. Apache, Navajo, and Shoshoni (pictured above) are only a few of the Indigenous tribes that utilized cradleboards. Breakthroughs, discoveries, and DIY tips sent every weekday. Indigenous women were technological trailblazers. But while lived experiences and communal histories have long supported this, they routinely fail to receive the credit they deserve .

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Topological data analysis (TDA) has been used successfully in a wide array of applications, for instance in medical (Nicolau et al., 2011) or material (Hiraoka et al., 2016) sciences, computer vision (Li et al., 2014) or to classify NBA players (Lum et al., 2013).

However, two common empirical observations argue against people using simple sampling algorithms such as MCMC for internal foraging.

Huge scale machine learning problems are nowadays tackled by distributed optimization algorithms, i.e. algorithms that leverage the compute power of many

A submodular function is said to be monotone non-decreasing if f (v | A) 0 for all v V and A V .

More complex data consisting of measurements across multiple modalities can be organized as higher dimensional data arrays, or higher order tensors.

Prior work has investigated variations of prediction markets that preserve participants' (differential) privacy, which formed the basis of useful mechanisms for purchasing data for machine learning objectives. Such markets required potentially unlimited financial subsidy, however, making them impractical.

Nowadays, the most popular methods are based on (i) the Sinkhorn's algorithm