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Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach.

N. Li, Y. Ma, Y. Zhao, Z. Duan, Y. Chen, Z. Zhang, J. Xu, B. Zheng, и X. Deng. KDD, стр. 1291-1302. ACM, (2023)

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Zhijian Huang

Zhijian Li

Mingke Duan

Linshu Duan

Junrui Duan

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Global Balanced Networks for Multi-View Stereo.B. Wang, B. Zhang, Z. Duan, и X. Wang. ICIP, стр. 3419-3423. IEEE, (2023)Are Equivariant Equilibrium Approximators Beneficial?Z. Duan, Y. Ma, и X. Deng. ICML, том 202 из Proceedings of Machine Learning Research, стр. 8747-8778. PMLR, (2023)AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks.W. Song, C. Shi, Z. Xiao, Z. Duan, Y. Xu, M. Zhang, и J. Tang. CoRR, (2018)Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets.Y. Chen, Q. Wang, Z. Duan, H. Sun, Z. Chen, X. Yan, и X. Deng. ICML, том 202 из Proceedings of Machine Learning Research, стр. 5052-5086. PMLR, (2023)Is Nash Equilibrium Approximator Learnable?Z. Duan, W. Huang, D. Zhang, Y. Du, J. Wang, Y. Yang, и X. Deng. AAMAS, стр. 233-241. ACM, (2023)Large-Scale Contextual Market Equilibrium Computation through Deep Learning.Y. Ma, Y. Bian, H. Xu, W. Yang, J. Zhao, Z. Duan, F. Wang, и X. Deng. CoRR, (2024)AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks.W. Song, C. Shi, Z. Xiao, Z. Duan, Y. Xu, M. Zhang, и J. Tang. CIKM, стр. 1161-1170. ACM, (2019)Learning-Based Ad Auction Design with Externalities: The Framework and A Matching-Based Approach.N. Li, Y. Ma, Y. Zhao, Z. Duan, Y. Chen, Z. Zhang, J. Xu, B. Zheng, и X. Deng. KDD, стр. 1291-1302. ACM, (2023)A survey on algorithms for Nash equilibria in finite normal-form games.H. Li, W. Huang, Z. Duan, D. Mguni, K. Shao, J. Wang, и X. Deng. CoRR, (2023)Role-Wise Data Augmentation for Knowledge Distillation.J. Fu, X. Geng, Z. Duan, B. Zhuang, X. Yuan, A. Trischler, J. Lin, C. Pal, и H. Dong. CoRR, (2020)

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