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Inference from Auction Prices., , , and . SODA, page 2472-2491. SIAM, (2020)Learning the Optimal Recommendation from Explorative Users., , , , and . AAAI, page 9457-9465. AAAI Press, (2022)Learning from a Learning User for Optimal Recommendations., , , , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 25382-25406. PMLR, (2022)Mechanism Redesign., , and . CoRR, (2017)Econometrics for Learning Agents., , and . EC, page 1-18. ACM, (2015)A/B Testing of Auctions., , and . EC, page 19-20. ACM, (2016)Welfare Guarantees from Data., , and . NIPS, page 3768-3777. (2017)Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models., , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 3082-3091. PMLR, (2020)How Bad is Top-K Recommendation under Competing Content Creators?, , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 39674-39701. PMLR, (2023)Mechanism design for data science., , and . EC, page 711-712. ACM, (2014)