Tag: items

Clustering Items through Bandit Feedback: Finding the Right Feature out of Many arXiv:2503.11209v1 Announce Type: new Abstract: We study the problem of clustering a set of items based on bandit feedback. Each of the $n$ items is characterized by a feature vector, with a possibly large dimension $d$. The items are partitioned into two unknown…