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Large-Scale Contextual Market Equilibrium Computation through Deep Learning

Large-Scale Contextual Market Equilibrium Computation through Deep Learning

11 June 2024
Yunxuan Ma
Yide Bian
Hao Xu
Weitao Yang
Jingshu Zhao
Zhijian Duan
Feng Wang
Xiaotie Deng
ArXivPDFHTML

Papers citing "Large-Scale Contextual Market Equilibrium Computation through Deep Learning"

16 / 16 papers shown
Title
A Scalable Neural Network for DSIC Affine Maximizer Auction Design
A Scalable Neural Network for DSIC Affine Maximizer Auction Design
Zhijian Duan
Haoran Sun
Yurong Chen
Xiaotie Deng
41
28
0
20 May 2023
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate
  Updates
Fast and Interpretable Dynamics for Fisher Markets via Block-Coordinate Updates
Tianlong Nan
Yuan Gao
Christian Kroer
110
2
0
01 Mar 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent
  Macroeconomic Models with Reinforcement Learning
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning
Ruitu Xu
Yifei Min
Tianhao Wang
Zhaoran Wang
Michael I. Jordan
Zhuoran Yang
53
6
0
24 Feb 2023
Are Equivariant Equilibrium Approximators Beneficial?
Are Equivariant Equilibrium Approximators Beneficial?
Zhijian Duan
Yunxuan Ma
Xiaotie Deng
56
4
0
27 Jan 2023
A Framework of Transaction Packaging in High-throughput Blockchains
A Framework of Transaction Packaging in High-throughput Blockchains
Yu Lu
Qian Qi
Xi Chen
58
1
0
26 Jan 2023
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural
  Equilibrium Solvers
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers
Luke Marris
I. Gemp
Thomas W. Anthony
Andrea Tacchetti
Siqi Liu
K. Tuyls
46
15
0
17 Oct 2022
Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive
  Enhancements
Stochastic Online Fisher Markets: Static Pricing Limits and Adaptive Enhancements
Devansh Jalota
Yinyu Ye
42
2
0
27 Apr 2022
Differentiable Economics for Randomized Affine Maximizer Auctions
Differentiable Economics for Randomized Affine Maximizer Auctions
Michael J. Curry
Tuomas Sandholm
John P. Dickerson
58
30
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
38
26
0
29 Jan 2022
Is Nash Equilibrium Approximator Learnable?
Is Nash Equilibrium Approximator Learnable?
Zhijian Duan
Wenhan Huang
Dinghuai Zhang
Yali Du
Jun Wang
Yaodong Yang
Xiaotie Deng
39
6
0
17 Aug 2021
Solving Heterogeneous General Equilibrium Economic Models with Deep
  Reinforcement Learning
Solving Heterogeneous General Equilibrium Economic Models with Deep Reinforcement Learning
Edward W. Hill
M. Bardoscia
A. Turrell
26
24
0
31 Mar 2021
A Permutation-Equivariant Neural Network Architecture For Auction Design
A Permutation-Equivariant Neural Network Architecture For Auction Design
Jad Rahme
Samy Jelassi
Joan Bruna
S. M. Weinberg
40
45
0
02 Mar 2020
Scalable Fair Division for Át Most One' Preferences
Scalable Fair Division for Át Most One' Preferences
Christian Kroer
A. Peysakhovich
37
20
0
24 Sep 2019
Learning to Clear the Market
Learning to Clear the Market
Weiran Shen
Sébastien Lahaie
R. Leme
23
15
0
04 Jun 2019
Computing large market equilibria using abstractions
Computing large market equilibria using abstractions
Christian Kroer
A. Peysakhovich
Eric Sodomka
Nicolas Stier-Moses
38
31
0
18 Jan 2019
Optimal Auctions through Deep Learning: Advances in Differentiable
  Economics
Optimal Auctions through Deep Learning: Advances in Differentiable Economics
Paul Dutting
Zhe Feng
Harikrishna Narasimhan
David C. Parkes
S. Ravindranath
34
34
0
12 Jun 2017
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