Anonymization and Information Loss

By Ke Wu, Baozhong Yang, Zhenkun Ying, Dexin Zhou

Published 2026-09-05

Everscope rating

1285.8

Relevance to quantitative trading

8 / 10

Implementation complexity

6 / 10

Reproducibility

4 / 5

About this paper

Methodology: Information Loss Framework with Anonymization Gap. Problem types: Classification, Regression, Natural Language Processing, Risk Management, Causal Inference.

arXiv:2511.15364 · Paper rankings

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