arXiv (All)
open access
Joint Lower Bounds for Zeroth-Order Nonconvex Optimization on Euclidean Balls
We prove a joint stochastic zeroth-order lower bound for Goldstein stationarity on a Euclidean query ball, even when the ball is guaranteed to contain a stationary point. In dimension $d$, let $f=\mathbb{E}[F(\cdot;ξ)]$, assume $\mathbb{E}[\operatorname{Lip}(F(\cdot;ξ))^2]\le L_0^2$, and bound the i
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Geometry and Convergence of Quadratically Regularized Optimal Transport I#1034220
- The Zaporozhets-Tarasov Conjecture on Mean Distances#926154
- Sudakov minoration for unconditional log-concave vectors with negatively associated magnitudes#1104724
- Convex Order and Moment Persuasion#1071459
- Zong's problem on $2d$ half-spaces containing the unit ball#1142995
Record · ID 1154898
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive