eScholarship
metadata only
Limit theorems for stochastic gradient descent in high-dimensional single-layer networks
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
- On the stochastic interpretation of gradient-dependent constitutive equations#407970
- Theoretical Guarantees for One-Shot Magnitude Pruning and Compute-Adaptive Early Exit#1000294
- Stochastic Gradient Tracking over Time-Varying Networks: One-Step Lyapunov Analysis#620676
- Stochastic Gradient Tracking over Time-Varying Networks: One-Step Lyapunov Analysis#618997
- Stochastic Gradient Tracking over Time-Varying Networks: One-Step Lyapunov Analysis#459614
Record · ID 675881
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