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The Strategic Perceptron., , , and . EC, page 6-25. ACM, (2021)Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs., and . CoRR, (2023)Pandora's Problem with Nonobligatory Inspection., and . EC, page 131-132. ACM, (2019)Randomness and Fairness in Two-Sided Matching with Limited Interviews., and . ITCS, volume 185 of LIPIcs, page 74:1-74:18. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2021)Pandora's Problem with Nonobligatory Inspection: Optimal Structure and a PTAS., and . STOC, page 803-816. ACM, (2023)New Guarantees for Learning Revenue Maximizing Menus of Lotteries and Two-Part Tariffs., and . Trans. Mach. Learn. Res., (2024)On Classification of Strategic Agents Who Can Both Game and Improve., , , and . FORC, volume 218 of LIPIcs, page 3:1-3:22. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)Brief Announcement: Effect of Strategic Grading and Early Offers in Matching Markets., , and . SAGT, volume 9347 of Lecture Notes in Computer Science, page 300-302. Springer, (2015)Setting Fair Incentives to Maximize Improvement., , , and . FORC, volume 256 of LIPIcs, page 5:1-5:22. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2023)Approximately-Optimal Mechanisms in Auction Design, Search Theory, and Matching Markets.. Cornell University, USA, (2019)