A Context-Integrated Transformer-Based Neural Network for Auction Design

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A Context-Integrated Transformer-Based Neural Network for Auction Design

International Conference on Machine Learning (ICML), 2022

29 January 2022

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Papers citing "A Context-Integrated Transformer-Based Neural Network for Auction Design"

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Title
A Transformer-Based Neural Network for Optimal Deterministic-Allocation and Anonymous Joint Auction Design Zhen Zhang Luowen Liu Wanzhi Zhang Zitian Guo Kun Huang Qi Qi Qiang Liu Xingxing Wang 159 0 0 03 Jun 2025
Deep Learning for Double Auction Jiayin Liu Chenglong Zhang 199 0 0 07 Apr 2025
Learning Neural Strategy-Proof Matching Mechanism from Examples Ryota Maruo Koh Takeuchi Hisashi Kashima 139 0 0 25 Oct 2024
Principal-Agent Reinforcement Learning Dima Ivanov Paul Dutting Inbal Talgam-Cohen Tonghan Wang David C. Parkes 169 0 0 25 Jul 2024
Deep Reinforcement Learning for Sequential Combinatorial Auctions S. Ravindranath Zhe Feng Di Wang Manzil Zaheer Aranyak Mehta David C. Parkes 142 4 0 10 Jul 2024
Large-Scale Contextual Market Equilibrium Computation through Deep Learning Yunxuan Ma Yide Bian Hao Xu Weitao Yang Jingshu Zhao Zhijian Duan Feng Wang Xiaotie Deng 338 0 0 11 Jun 2024
Scalable Virtual Valuations Combinatorial Auction Design by Combining Zeroth-Order and First-Order Optimization Method Zhijian Duan Haoran Sun Yichong Xia Siqiang Wang Zhilin Zhang Chuan Yu Jian Xu Bo Zheng Xiaotie Deng 173 0 0 19 Feb 2024
Data Market Design through Deep LearningNeural Information Processing Systems (NeurIPS), 2023 S. Ravindranath Yanchen Jiang David C. Parkes 188 12 0 31 Oct 2023
A Scalable Neural Network for DSIC Affine Maximizer Auction DesignNeural Information Processing Systems (NeurIPS), 2023 Zhijian Duan Haoran Sun Yurong Chen Xiaotie Deng 183 39 0 20 May 2023
Mode Connectivity in Auction DesignNeural Information Processing Systems (NeurIPS), 2023 Christoph Hertrich Yixin Tao László A. Végh 245 3 0 18 May 2023
Neural Auctions Compromise Bidder Information Alex Stein Avi Schwarzschild Michael J. Curry Tom Goldstein John P. Dickerson 150 1 0 28 Feb 2023
Are Equivariant Equilibrium Approximators Beneficial?International Conference on Machine Learning (ICML), 2023 Zhijian Duan Yunxuan Ma Xiaotie Deng 249 4 0 27 Jan 2023
Benefits of Permutation-Equivariance in Auction MechanismsNeural Information Processing Systems (NeurIPS), 2022 Tian Qin Fengxiang He Dingfeng Shi Wenbing Huang Dacheng Tao 181 11 0 11 Oct 2022
Optimal-er Auctions through AttentionNeural Information Processing Systems (NeurIPS), 2022 Dmitry Ivanov Iskander Safiulin Igor Filippov Ksenia Balabaeva 379 38 0 26 Feb 2022
Differentiable Economics for Randomized Affine Maximizer AuctionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022 Michael J. Curry Tuomas Sandholm John P. Dickerson 220 36 0 06 Feb 2022
Deep Learning for Two-Sided Matching S. Ravindranath Zhe Feng Shira Li Jonathan Ma S. Kominers David C. Parkes 247 24 0 07 Jul 2021
Optimal Auctions through Deep Learning: Advances in Differentiable EconomicsJournal of the ACM (JACM), 2017 Paul Dutting Zhe Feng Harikrishna Narasimhan David C. Parkes S. Ravindranath 437 50 0 12 Jun 2017