The group testing problem concerns discovering a small number of defective items within a
large population by performing tests on pools of items. A test is positive if the pool contains …

Active sequential hypothesis testing Page 1 The Annals of Statistics 2013, Vol. 41, No. 6,
2703–2738 DOI: 10.1214/13-AOS1144 © Institute of Mathematical Statistics, 2013 ACTIVE …

We consider the problem of nonadaptive noiseless group testing of N items of which K are
defective. We describe four detection algorithms, the COMP algorithm of Chan et al., two …

We consider some computationally efficient and provably correct algorithms with near-
optimal sample complexity for the problem of noisy nonadaptive group testing. Group testing …

Search problems in cryptography Page 1 Search problems in cryptography: from fingerprinting
to lattice sieving Citation for published version (APA): Laarhoven, T. (2016). Search problems …

In the group testing problem, which goes back to the work of Dorfman (1943), we aim to
identify a small set of $ k\sim n^\theta $ infected individuals out of a population size $ n …

We study the group testing problem where the goal is to identify a set of k infected
individuals carrying a rare disease within a population of size n, based on the outcomes of …

The group testing problem consists of determining a sparse subset of a set of items that are
“defective” based on a set of possibly noisy tests, and arises in areas such as medical …

We propose 'Tapestry', a single-round pooled testing method with application to COVID-19
testing using quantitative Reverse Transcription Polymerase Chain Reaction (RT-PCR) that …

The support recovery problem consists of determining a sparse subset of a set of variables
that is relevant in generating a set of observations, and arises in a diverse range of settings …