Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Reconciling Risk Allocation and Prevalence Estimation in Public Health
  Using Batched Bandits   In many public health settings, there is a perceived tension between
allocating resources to known vulnerable areas and learning about the overall
prevalence of the problem. Inspired by a door-to-door Covid-19 testing program
we helped design, we combine multi-armed bandit strategies and insights from
sampling theory to demonstrate how to recover accurate prevalence estimates
while continuing to allocate resources to at-risk areas. We use the outbreak of
an infectious disease as our running example. The public health setting has
several characteristics distinguishing it from typical bandit settings, such as
distribution shift (the true disease prevalence is changing with time) and
batched sampling (multiple decisions must be made simultaneously).
Nevertheless, we demonstrate that several bandit algorithms are capable
out-performing greedy resource allocation strategies, which often perform worse
than random allocation as they fail to notice outbreaks in new areas.

21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
13
The categories of this paper are: quant-ph
16
The categories of this paper are: stat
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
37
The categories of this paper are: supr-con
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
26
The categories of this paper are: bayes-an
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
6
The categories of this paper are: astro-ph