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Approximating Pandora's Box with Correlations.

, , , and . APPROX/RANDOM, volume 275 of LIPIcs, page 26:1-26:24. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)

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Combinatorial Assortment Optimization., , , , and . WINE, volume 11316 of Lecture Notes in Computer Science, page 218-231. Springer, (2018)Buy-many mechanisms: what are they and why should you care?, , and . SIGecom Exch., 18 (1): 12-18 (2020)Threshold Phenomena in Learning Halfspaces with Massart Noise., , , , and . CoRR, (2021)Self-Directed Linear Classification., , , and . COLT, volume 195 of Proceedings of Machine Learning Research, page 2919-2947. PMLR, (2023)Buy-Many Mechanisms are Not Much Better than Item Pricing., , and . EC, page 237-238. ACM, (2019)Pandora's Box with Correlations: Learning and Approximation., , , , and . FOCS, page 1214-1225. IEEE, (2020)Learning Halfspaces with Massart Noise Under Structured Distributions., , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 1486-1513. PMLR, (2020)Buy-many mechanisms are not much better than item pricing., , and . Games Econ. Behav., (2022)Buy-Many Mechanisms for Many Unit-Demand Buyers., , , and . WINE, volume 14413 of Lecture Notes in Computer Science, page 21-38. Springer, (2023)Anaconda: A Non-Adaptive Conditional Sampling Algorithm for Distribution Testing., and . SODA, page 679-693. SIAM, (2019)