Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2108.00664
Cited By
Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators
2 August 2021
Victor Storchan
Svitlana Vyetrenko
T. Balch
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Learning who is in the market from time series: market participant discovery through adversarial calibration of multi-agent simulators"
4 / 4 papers shown
Title
Deep Calibration of Market Simulations using Neural Density Estimators and Embedding Networks
Namid R Stillman
R. Baggott
Justin Lyon
Jianfei Zhang
Dingqui Zhu
Tao Chen
Perukrishnen Vytelingum
29
1
0
20 Nov 2023
INTAGS: Interactive Agent-Guided Simulation
Song Wei
Andrea Coletta
Svitlana Vyetrenko
T. Balch
24
1
0
04 Sep 2023
Efficient Calibration of Multi-Agent Simulation Models from Output Series with Bayesian Optimization
Yuanlu Bai
Henry Lam
Svitlana Vyetrenko
T. Balch
27
10
0
03 Dec 2021
SDE approximations of GANs training and its long-run behavior
Haoyang Cao
Xin Guo
31
1
0
03 Jun 2020
1