Robust Optimization in Causal Models and G-Causal Normalizing Flows

By Gabriele Visentin, Patrick Cheridito

Published 2025-10-17

Everscope rating

1515.4

Relevance to quantitative trading

8 / 10

Implementation complexity

6 / 10

Reproducibility

3 / 5

About this paper

Methodology: G-Causal Normalizing Flows. Problem types: Causal Inference, Optimization, Portfolio Optimization, Generative Modeling, Regression, Risk Management, Data Augmentation, Distributionally Robust Optimization.

arXiv:2510.15458 · Paper rankings

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