A Permutation-Equivariant Neural Network Architecture For Auction Design

A Permutation-Equivariant Neural Network Architecture For Auction Design

2 March 2020

Joan Bruna

Papers citing "A Permutation-Equivariant Neural Network Architecture For Auction Design"

10 / 10 papers shown

Title
An Interpretable Automated Mechanism Design Framework with Large Language Models Jiayuan Liu Mingyu Guo Vincent Conitzer 79 0 0 16 Feb 2025
Learning Fair and Preferable Allocations through Neural Network Ryota Maruo Koh Takeuchi Hisashi Kashima 40 0 0 23 Oct 2024
The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 57 5 0 11 Aug 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 44 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 40 0 0 19 Feb 2024
Representing and Learning Functions Invariant Under Crystallographic Groups Ryan P. Adams Peter Orbanz 29 4 0 08 Jun 2023
Benefits of Permutation-Equivariance in Auction Mechanisms Tian Qin Fengxiang He Dingfeng Shi Wenbing Huang Dacheng Tao 47 11 0 11 Oct 2022
Differentiable Economics for Randomized Affine Maximizer Auctions Michael J. Curry T. Sandholm John P. Dickerson 41 29 0 06 Feb 2022
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 264 3,246 0 24 Nov 2016
Payment Rules through Discriminant-Based Classifiers Paul Dütting Felix A. Fischer Pichayut Jirapinyo John K. Lai Benjamin Lubin David C. Parkes FaML 45 59 0 06 Aug 2012