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Data Market Design through Deep Learning

Data Market Design through Deep Learning

31 October 2023
S. Ravindranath
Yanchen Jiang
David C. Parkes
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Papers citing "Data Market Design through Deep Learning"

7 / 7 papers shown
Title
Selling Information in Games with Externalities
Selling Information in Games with Externalities
Thomas Falconer
Anubhav Ratha
J. Kazempour
Pierre Pinson
Maryam Kamgarpour
26
0
0
01 May 2025
LLM-Powered Preference Elicitation in Combinatorial Assignment
LLM-Powered Preference Elicitation in Combinatorial Assignment
Ermis Soumalias
Yanchen Jiang
Kehang Zhu
Michael J. Curry
Sven Seuken
David C. Parkes
54
0
0
14 Feb 2025
Principal-Agent Reinforcement Learning
Principal-Agent Reinforcement Learning
Dima Ivanov
Paul Dutting
Inbal Talgam-Cohen
Tonghan Wang
David C. Parkes
34
3
0
25 Jul 2024
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep
  Learning
GemNet: Menu-Based, Strategy-Proof Multi-Bidder Auctions Through Deep Learning
Tonghan Wang
Yanchen Jiang
David C. Parkes
40
7
0
11 Jun 2024
Scalable Virtual Valuations Combinatorial Auction Design by Combining
  Zeroth-Order and First-Order Optimization Method
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
32
0
0
19 Feb 2024
Differentiable Economics for Randomized Affine Maximizer Auctions
Differentiable Economics for Randomized Affine Maximizer Auctions
Michael J. Curry
T. Sandholm
John P. Dickerson
33
28
0
06 Feb 2022
A Context-Integrated Transformer-Based Neural Network for Auction Design
A Context-Integrated Transformer-Based Neural Network for Auction Design
Zhijian Duan
Jin-Lin Tang
Yutong Yin
Zhe Feng
Xiang Yan
Manzil Zaheer
Xiaotie Deng
14
26
0
29 Jan 2022
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