Optimal Auctions through Deep Learning: Advances in Differentiable
Economics

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Optimal Auctions through Deep Learning: Advances in Differentiable Economics

12 June 2017

Harikrishna Narasimhan

David C. Parkes

S. Ravindranath

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Papers citing "Optimal Auctions through Deep Learning: Advances in Differentiable Economics"

9 / 9 papers shown

Title
Deep Learning for Double Auction Jiayin Liu Chenglong Zhang 66 0 0 07 Apr 2025
BundleFlow: Deep Menus for Combinatorial Auctions by Diffusion-Based Optimization Tonghan Wang Yanchen Jiang David C. Parkes 134 1 0 24 Feb 2025
LLM-Powered Preference Elicitation in Combinatorial Assignment Ermis Soumalias Yanchen Jiang Kehang Zhu Michael J. Curry Sven Seuken David C. Parkes 120 1 0 14 Feb 2025
Regularized Proportional Fairness Mechanism for Resource Allocation Without Money Sihan Zeng Sujay Bhatt Alec Koppel Sumitra Ganesh 69 0 0 03 Jan 2025
The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 123 6 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 94 0 0 11 Jun 2024
Understanding Iterative Combinatorial Auction Designs via Multi-Agent Reinforcement Learning G. dÉon N. Newman Kevin Leyton-Brown 52 0 0 29 Feb 2024
Deep Contract Design via Discontinuous Networks Tonghan Wang Paul Dutting Dmitry Ivanov Inbal Talgam-Cohen David C. Parkes 65 13 0 05 Jul 2023
Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design Gianluca Brero Alon Eden D. Chakrabarti M. Gerstgrasser Amy Greenwald Vincent Li David C. Parkes 110 2 0 07 Oct 2022