fea16e782bc1b1240e4b3c797012e289-AuthorFeedback.pdf

Notethat(moreaccurate)OvAmethods9 requireO(d)classifiers to be trained (taking many hours). Sampling a group testing matrix that (a) captures the label17 correlations, (b) has distinctive columns, and (c) satisfies the SAFFRON construction, is non-trivial. Weakness3-Experimental23 study: We first show that NMFGT is better (See Fig 2. & suppl.) We27 believe that low training times (saving many hours) and fast predictions in return for a limited loss (few points) in28 accuracywillbecriticalinmany"relatedsearch"applications. Indeed, we notice aclear trade-off: as we increase runtimes, accuracyimproves.