Optimal Auctions through Deep Learning: Advances in Differentiable
Economics

Optimal Auctions through Deep Learning: Advances in Differentiable Economics

12 June 2017

Harikrishna Narasimhan

David C. Parkes

S. Ravindranath

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

11 / 11 papers shown

Title
LLM-Powered Preference Elicitation in Combinatorial Assignment Ermis Soumalias Yanchen Jiang Kehang Zhu Michael J. Curry Sven Seuken David C. Parkes 90 1 0 14 Feb 2025
The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 92 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 58 0 0 11 Jun 2024
Learning to Mitigate AI Collusion on Economic Platforms Gianluca Brero N. Lepore Eric Mibuari David C. Parkes 30 14 0 15 Feb 2022
Learning Revenue-Maximizing Auctions With Differentiable Matching Michael J. Curry Uro Lyi Tom Goldstein John P. Dickerson 33 20 0 15 Jun 2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning Neehar Peri Michael J. Curry Samuel Dooley John P. Dickerson 46 31 0 06 Jun 2021
ProportionNet: Balancing Fairness and Revenue for Auction Design with Deep Learning Kevin Kuo Anthony Ostuni Elizabeth Horishny Michael J. Curry Samuel Dooley Ping Yeh-Chiang Tom Goldstein John P. Dickerson 36 25 0 13 Oct 2020
Auction learning as a two-player game Jad Rahme Samy Jelassia Matthew Weinberga 47 45 0 10 Jun 2020
A Permutation-Equivariant Neural Network Architecture For Auction Design Jad Rahme Samy Jelassi Joan Bruna S. M. Weinberg 46 46 0 02 Mar 2020
Causal Effect Inference with Deep Latent-Variable Models Christos Louizos Uri Shalit Joris Mooij David Sontag R. Zemel Max Welling CML BDL 177 741 0 24 May 2017
Learning Simple Auctions Jamie Morgenstern Tim Roughgarden 48 127 0 11 Apr 2016