Set Selection Under Explorable Stochastic Uncertainty via Covering Techniques
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-32726-1_23
Reference30 articles.
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2. Bampis, E., Dürr, C., Erlebach, T., de Lima, M.S., Megow, N., Schlöter, J.: Orienting (hyper)graphs under explorable stochastic uncertainty. In: ESA. LIPIcs, vol. 204, pp. 1–18 (2021). https://doi.org/10.4230/LIPIcs.ESA.2021.10
3. Behnezhad, S., Blum, A., Derakhshan, M.: Stochastic vertex cover with few queries. In: SODA, pp. 1808–1846. SIAM (2022)
4. Blum, A., Dickerson, J.P., Haghtalab, N., Procaccia, A.D., Sandholm, T., Sharma, A.: Ignorance is almost bliss: Near-optimal stochastic matching with few queries. Oper. Res. 68(1), 16–34 (2020)
5. Bruce, R., Hoffmann, M., Krizanc, D., Raman, R.: Efficient update strategies for geometric computing with uncertainty. Theory Comput. Syst. 38(4), 411–423 (2005). https://doi.org/10.1007/s00224-004-1180-4
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