Optimal-er Auctions through Attention

26 February 2022

Papers citing "Optimal-er Auctions through Attention"

20 / 20 papers shown

Title
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money Sihan Zeng Sujay Bhatt Alec Koppel Sumitra Ganesh 32 0 0 03 Jan 2025
Principal-Agent Reinforcement Learning Dima Ivanov Paul Dutting Inbal Talgam-Cohen Tonghan Wang David C. Parkes 36 3 0 25 Jul 2024
Deep Reinforcement Learning for Sequential Combinatorial Auctions S. Ravindranath Zhe Feng Di Wang Manzil Zaheer Aranyak Mehta David C. Parkes 21 1 0 10 Jul 2024
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning Tonghan Wang Yanchen Jiang David C. Parkes 51 7 0 11 Jun 2024
Social Environment Design Edwin Zhang Sadie Zhao Tonghan Wang Safwan Hossain Henry Gasztowtt Stephan Zheng David C. Parkes Milind Tambe Yiling Chen 43 5 0 21 Feb 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 40 0 0 19 Feb 2024
Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications V. U. Sankar Vishisht Srihari Rao Y. Narahari 18 0 0 11 Jan 2024
Learning Payment-Free Resource Allocation Mechanisms Sihan Zeng Sujay Bhatt Eleonora Kreacic Parisa Hassanzadeh Alec Koppel Sumitra Ganesh 16 2 0 18 Nov 2023
Data Market Design through Deep Learning S. Ravindranath Yanchen Jiang David C. Parkes 23 8 0 31 Oct 2023
Mediated Multi-Agent Reinforcement Learning Dmitry Ivanov Ilya Zisman Kirill Chernyshev 30 8 0 14 Jun 2023
A Scalable Neural Network for DSIC Affine Maximizer Auction Design Zhijian Duan Haoran Sun Yurong Chen Xiaotie Deng 18 28 0 20 May 2023
Information Design in Multi-Agent Reinforcement Learning Yue Lin Wenhao Li H. Zha Baoxiang Wang 29 10 0 08 May 2023
Neural Auctions Compromise Bidder Information Alex Stein Avi Schwarzschild Michael J. Curry Tom Goldstein John P. Dickerson 19 1 0 28 Feb 2023
Are Equivariant Equilibrium Approximators Beneficial? Zhijian Duan Yunxuan Ma Xiaotie Deng 30 4 0 27 Jan 2023
Benefits of Permutation-Equivariance in Auction Mechanisms Tian Qin Fengxiang He Dingfeng Shi Wenbing Huang Dacheng Tao 39 11 0 11 Oct 2022
Differentiable Economics for Randomized Affine Maximizer Auctions Michael J. Curry T. Sandholm John P. Dickerson 38 28 0 06 Feb 2022
A Context-Integrated Transformer-Based Neural Network for Auction Design Zhijian Duan Jin-Lin Tang Yutong Yin Zhe Feng Xiang Yan Manzil Zaheer Xiaotie Deng 21 26 0 29 Jan 2022
Deep Learning for Two-Sided Matching S. Ravindranath Zhe Feng Shira Li Jonathan Ma S. Kominers David C. Parkes 23 22 0 07 Jul 2021
Optimal Auctions through Deep Learning: Advances in Differentiable Economics Paul Dutting Zhe Feng Harikrishna Narasimhan David C. Parkes S. Ravindranath 15 34 0 12 Jun 2017
Payment Rules through Discriminant-Based Classifiers Paul Dütting Felix A. Fischer Pichayut Jirapinyo John K. Lai Benjamin Lubin David C. Parkes FaML 37 59 0 06 Aug 2012