arXiv (All)
open access
Improved generalization bounds for binary linear classification via isoperimetry
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
- Improved generalization bounds for binary linear classification via isoperimetry#668274
- Sparsely gated tiny linear experts#266167
- Stochastic Trace and Diagonal Estimator for Tensors#448017
- MSCF-Net: unified multi-scale feature disentanglement for co-registered nucleus segmentation and virtual staining.#199134
- Online Supervised Dimension Reduction with Random Features: Diagnostics and Computational Trade-offs#978443
Record · ID 670339
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