Generative Adversarial Regression (GAR): Learning Conditional Risk Scenarios

By Saeed Asadi, Jonathan Yu-Meng Li

Published 2026-03-10

Everscope rating

2035.1

Relevance to quantitative trading

8 / 10

Implementation complexity

7 / 10

Reproducibility

3 / 5

About this paper

Methodology: Generative Adversarial Regression (GAR). Problem types: Generative Modeling, Risk Management, Time Series Forecasting, Optimization, Regression, Density Estimation.

arXiv:2603.08553 · Paper rankings

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