On Traceability in $\ell_p$ Stochastic Convex Optimization

NeurIPSSpotlight2025

Authors
Sasha Voitovych, Mahdi Haghifam, Idan Attias, Gintare Karolina Dziugaite, Roi Livni, Daniel M. Roy
Venue
NeurIPS 2025
Track
Spotlight

TL;DR

In this paper, we investigate the necessity of traceability for accurate learning in stochastic convex optimization (SCO) under $\ell_p$ geometries…

Opening excerpt from the authors’ abstract. source

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Topics

optimization

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