Soft-Radial Projection for Constrained End-to-End Learning

By Philipp J. Schneider, Daniel Kuhn

Published 2026-02-04

Everscope rating
1897.3
Relevance to quantitative trading
8 / 10
Implementation complexity
5 / 10
Reproducibility
4 / 5

About this paper

Methodology: Soft-Radial Projection. Problem types: Portfolio Optimization, Optimization, Constrained End-to-End Learning, Resource Allocation, Decision-Making Under Constraints.

arXiv:2602.03461 · Code · Paper rankings

Open the interactive Everscope explorer for full analysis, charts, and paper battles.