ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.05683
  4. Cited By
Deep Learning Meets Mechanism Design: Key Results and Some Novel
  Applications

Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications

11 January 2024
V. U. Sankar
Vishisht Srihari Rao
Y. Narahari
ArXiv (abs)PDFHTML

Papers citing "Deep Learning Meets Mechanism Design: Key Results and Some Novel Applications"

8 / 8 papers shown
Title
Learning Algorithms for Intelligent Agents and Mechanisms
Learning Algorithms for Intelligent Agents and Mechanisms
Jad Rahme
44
1
0
06 Oct 2022
Optimal-er Auctions through Attention
Optimal-er Auctions through Attention
Dmitry Ivanov
Iskander Safiulin
Igor Filippov
Ksenia Balabaeva
52
32
0
26 Feb 2022
A Survey of Online Auction Mechanism Design Using Deep Learning
  Approaches
A Survey of Online Auction Mechanism Design Using Deep Learning Approaches
Zhanhao Zhang
56
6
0
11 Oct 2021
Learning Revenue-Maximizing Auctions With Differentiable Matching
Learning Revenue-Maximizing Auctions With Differentiable Matching
Michael J. Curry
Uro Lyi
Tom Goldstein
John P. Dickerson
46
20
0
15 Jun 2021
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce
  Advertising
Neural Auction: End-to-End Learning of Auction Mechanisms for E-Commerce Advertising
Xiangyu Liu
Chuan Yu
Zhilin Zhang
Zhenzhe Zheng
Yu Rong
...
Dagui Chen
Jian Xu
Fan Wu
Guihai Chen
Xiaoqiang Zhu
60
65
0
07 Jun 2021
PreferenceNet: Encoding Human Preferences in Auction Design with Deep
  Learning
PreferenceNet: Encoding Human Preferences in Auction Design with Deep Learning
Neehar Peri
Michael J. Curry
Samuel Dooley
John P. Dickerson
70
31
0
06 Jun 2021
ProportionNet: Balancing Fairness and Revenue for Auction Design with
  Deep Learning
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
56
25
0
13 Oct 2020
Deep Models of Interactions Across Sets
Deep Models of Interactions Across Sets
Jason S. Hartford
Devon R. Graham
Kevin Leyton-Brown
Siamak Ravanbakhsh
159
158
0
07 Mar 2018
1