Data Market Design through Deep Learning

31 October 2023

Papers citing "Data Market Design through Deep Learning"

8 / 8 papers shown

Title
LLM-Powered Preference Elicitation in Combinatorial Assignment Ermis Soumalias Yanchen Jiang Kehang Zhu Michael J. Curry Sven Seuken David C. Parkes 101 1 0 14 Feb 2025
Optimal-er Auctions through Attention Dmitry Ivanov Iskander Safiulin Igor Filippov Ksenia Balabaeva 52 32 0 26 Feb 2022
Differentiable Economics for Randomized Affine Maximizer Auctions Michael J. Curry Tuomas Sandholm John P. Dickerson 65 30 0 06 Feb 2022
Learning Revenue-Maximizing Auctions With Differentiable Matching Michael J. Curry Uro Lyi Tom Goldstein John P. Dickerson 38 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 56 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 43 25 0 13 Oct 2020
Certifying Strategyproof Auction Networks Michael J. Curry Ping Yeh-Chiang Tom Goldstein John P. Dickerson 43 28 0 15 Jun 2020
A Permutation-Equivariant Neural Network Architecture For Auction Design Jad Rahme Samy Jelassi Joan Bruna S. M. Weinberg 59 46 0 02 Mar 2020