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Discrete Stochastic Submodular Maximization: Adaptive vs. Non-adaptive vs. Offline.

, , and . CIAC, volume 9079 of Lecture Notes in Computer Science, page 235-248. Springer, (2015)

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Exact learning of DNF formulas using DNF hypotheses., and . STOC, page 465-473. ACM, (2002)Why skewing works: learning difficult Boolean functions with greedy tree learners., , , and . ICML, volume 119 of ACM International Conference Proceeding Series, page 728-735. ACM, (2005)Tight Bounds on Proper Equivalence Query Learning of DNF., , , and . COLT, volume 23 of JMLR Proceedings, page 31.1-31.18. JMLR.org, (2012)Solving Zero-Sum Games Using Best-Response Oracles with Applications to Search Games., , and . Operations Research, 67 (3): 731-743 (2019)Adaptivity Gaps for the Stochastic Boolean Function Evaluation Problem., , , and . WAOA, volume 13538 of Lecture Notes in Computer Science, page 190-210. Springer, (2022)Evaluation of DNF Formulas., , , and . ISAIM, (2014)Minimizing DNF Formulas and AC0d Circuits Given a Truth Table., , , , and . CCC, page 237-251. IEEE Computer Society, (2006)PAC Learning with Irrelevant Attributes, and . FOCS, page 64-74. IEEE Computer Society, (1994)Quickly Determining Who Won an Election., , and . ITCS, volume 287 of LIPIcs, page 61:1-61:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2024)Naïve Bayes with Higher Order Attributes., and . Canadian AI, volume 3060 of Lecture Notes in Computer Science, page 105-119. Springer, (2004)