[15] Yang Cai, Argyris Oikonomou, Grigoris Velegkas, and Mingfei Zhao. An efficient  $\epsilon$ -bic to BIC transformation and its application to black-box reduction in revenue maximization. In Daniel Marx, editor, Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, SODA 2021, Virtual Conference, January 10 - 13, 2021, pages 1337-1356. SIAM, 2021.
[16] Matteo Castiglioni, Alberto Marchesi, and Nicola Gatti. Bayesian persuasion meets mechanism design: Going beyond intractability with type reporting. In Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, page 226-234, 2022.
[17] Junjie Chen, Minming Li, and Haifeng Xu. Selling data to a machine learner: Pricing via costly signaling. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvari, Gang Niu, and Sivan Sabato, editors, Proceedings of the 39th International Conference on Machine Learning, volume 162 of Proceedings of Machine Learning Research, pages 3336-3359. PMLR, 17-23 Jul 2022. URL https://proceedings.mlr.press/v162/chen22m.html.
[18] Yiling Chen, Haifeng Xu, and Shuran Zheng. Selling information through consulting. In ACM-SIAM Symposium on Discrete Algorithms (SODA 2020). Presented in ACM/INFORMS Workshop on Market Design 2019, 2020. URL https://arxiv.org/abs/1907.04397.
[19] Jay Pil Choi, Doh-Shin Jeon, and Byung-Cheol Kim. Privacy and personal data collection with information externalities. Journal of Public Economics, 173:113-124, 2019.
[20] Vincent Conitzer and Tuomas Sandholm. Complexity of mechanism design. In Proceedings of the Eighteenth Conference on Uncertainty in Artificial Intelligence, UAI'02, page 103-110, San Francisco, CA, USA, 2002. Morgan Kaufmann Publishers Inc. ISBN 1558608974.
[21] Vincent Conitzer and Tuomas Sandholm. Self-interested automated mechanism design and implications for optimal combinatorial auctions. In Proceedings of the 5th ACM Conference on Electronic Commerce, EC '04, page 132-141, New York, NY, USA, 2004. Association for Computing Machinery. ISBN 1581137710. doi: 10.1145/988772.988793. URL https://doi.org/10.1145/988772.988793.
[22] Vincent Conitzer, Zhe Feng, David C. Parkes, and Eric Sodomka. Welfare-preserving  $\varepsilon$ -bic to bic transformation with negligible revenue loss. In Web and Internet Economics, pages 76-94, 2022.
[23] Michael Curry, Ping-Yeh Chiang, Tom Goldstein, and John Dickerson. Certifying strategyproof auction networks. Advances in Neural Information Processing Systems, 33:4987-4998, 2020.
[24] Michael Curry, Tuomas Sandholm, and John Dickerson. Differentiable economics for randomized affine maximizer auctions. In Edith Elkind, editor, Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI-23, pages 2633–2641. International Joint Conferences on Artificial Intelligence Organization, 8 2023. doi: 10.24963/ijcai.2023/293. URL https://doi.org/10.24963/ijcai.2023/293. Main Track.
[25] Michael J Curry, Uro Lyi, Tom Goldstein, and John P Dickerson. Learning revenue-maximizing auctions with differentiable matching. In International Conference on Artificial Intelligence and Statistics, pages 6062-6073. PMLR, 2022.
[26] C. Daskalakis and S. M. Weinberg. Symmetries and optimal multi-dimensional mechanism design. In Proceedings of the 13th ACM Conference on Electronic Commerce, pages 370-387, 2012.
[27] Constantinos Daskalakis, Christos Papadimitriou, and Christos Tzamos. Does information revelation improve revenue? In Proceedings of the 2016 ACM Conference on Economics and Computation, pages 233-250, 2016.
[28] Zhijian Duan, Jingwu Tang, Yutong Yin, Zhe Feng, Xiang Yan, Manzil Zaheer, and Xiaotie Deng. A context-integrated transformer-based neural network for auction design. In Kamalika Chaudhuri, Stefanie Jegelka, Le Song, Csaba Szepesvari, Gang Niu, and Sivan Sabato, editors, Proceedings of the 39th International Conference on Machine Learning, volume 162 of Proceedings of Machine Learning Research, pages 5609-5626. PMLR, 17-23 Jul 2022. URL https://proceedings.mlr.press/v162/duan22a.html.